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The School of Public Health

Through teaching and research, the Brown University School of Public Health trains future public health leaders, advances knowledge on pressing health challenges, and enhances population health and well-being for all. Our students learn public health by doing public health.

The School’s mission is to improve the health of all populations, especially those most vulnerable, by producing world-class public health scholarship, forging strong community partnerships, and educating the next generation of diverse public health leaders. The School aims to achieve its mission by:

  1. Rigorously preparing the next generation of diverse public health leaders, from undergraduates through postdoctoral fellows, to address the health needs of all people, including those of historically underserved or vulnerable populations
  2. Generating world-class public health scholarship that addresses the health needs of all people, including historically underserved or vulnerable populations
  3. Cultivating strong partnerships with communities and governmental entities in order to address the health needs of all people, including historically underserved or vulnerable populations
  4. Ensuring that the School’s infrastructure supports operational effectiveness, through enhanced philanthropy, improved financial practice, and expanded physical space

The School’s values of Excellence, Equity, Diversity and Inclusion, Collaboration, Innovation, and Community Focus are critical to preserving and enhancing the health and well-being of humanity. Learn more about the School's Mission, Vision, & Values.

Accredited by the Council on Education for Public Health (CEPH) in 2016, the School offers programs in the following degrees: Master of Public Health (MPH); PhD in Behavioral and Social Health Sciences; AM, ScM and PhD in Biostatistics; ScM and the Certificate in Clinical and Translational Research; PhD in Epidemiology; and PhD in Health Services Research.  The School of Public Health offers two undergraduate concentrations: AB in Public Health and ScB in Statistics. 

The School’s small size and low student-to-faculty ratio translates to personal attention. From assistance in selecting coursework to advice on submitting grant proposals, faculty advisors in the School of Public Health work closely with students as they move through their studies.

For additional information regarding the School of Public Health and its programs of study and areas of research visit: brown.edu/academics/public-health/about

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PHP 0060. Complexities and Challenges of Global Health.

Global health refers to the health and wellbeing of all of the world’s populations, regardless of geography, country, or citizenship. Many of today’s most pressing issues, from climate change to political conflict and population displacement, have profound implications for health. This course will introduce students to fundamental topics in global health, and it will encourage them to approach global health issues through a lens of equity and responsibility toward people and populations beyond United States’ borders. Students will develop a framework for understanding contemporary health challenges and learn how responses to these complex problems require collaboration across health and non-health sectors of society. This course will challenge students’ assumptions about world health while strengthening their skills in data literacy and critical analysis.

Fall PHP0060 S01 18192 TTh 1:00-2:20(08) (N. Trivedi)
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PHP 0310. Health Care in the United States.

Introduction to the health care delivery system. An overview of the U.S. health care financing, delivery and regulatory system. Considers the interaction between paying for and providing and assuring the quality of health services; changes in one component of the system inevitably affect the others. Addresses the balance between employer funded health insurance, publicly funded health insurance and the consequences of not being insured. Six discussion sections will be arranged. Open to undergraduates only. This is a core class for the concentration in public health.

Fall PHP0310 S01 17103 MWF 10:00-10:50(14) (I. Wilson)
Fall PHP0310 C01 17456 M 9:00-9:50 'To Be Arranged'
Fall PHP0310 C02 17457 M 11:00-11:50 'To Be Arranged'
Fall PHP0310 C03 17458 M 12:00-12:50 'To Be Arranged'
Fall PHP0310 C04 17459 M 1:00-1:50 'To Be Arranged'
Fall PHP0310 C05 17460 M 12:00-12:50 'To Be Arranged'
Fall PHP0310 C06 17461 M 5:40-6:30 'To Be Arranged'
Fall PHP0310 C07 17462 T 10:30-11:20 'To Be Arranged'
Fall PHP0310 C08 17463 T 12:00-12:50 'To Be Arranged'
Fall PHP0310 C09 17464 T 1:00-1:50 'To Be Arranged'
Fall PHP0310 C10 17465 T 2:30-3:20 'To Be Arranged'
Fall PHP0310 C11 17466 T 6:40-7:30 'To Be Arranged'
Fall PHP0310 C12 17467 W 9:00-9:50 'To Be Arranged'
Fall PHP0310 C13 17468 W 11:00-11:50 'To Be Arranged'
Fall PHP0310 C14 17469 W 12:00-12:50 'To Be Arranged'
Fall PHP0310 C15 17470 W 2:00-2:50 'To Be Arranged'
Fall PHP0310 C16 17471 W 12:00-12:50 'To Be Arranged'
Fall PHP0310 C17 17472 W 5:40-6:30 'To Be Arranged'
Fall PHP0310 C18 17473 Th 10:30-11:20 'To Be Arranged'
Fall PHP0310 C19 17474 Th 12:00-12:50 'To Be Arranged'
Fall PHP0310 C20 17475 Th 1:00-1:50 'To Be Arranged'
Fall PHP0310 C21 17476 Th 2:30-3:20 'To Be Arranged'
Fall PHP0310 C22 17477 Th 6:40-7:30 'To Be Arranged'
Fall PHP0310 C23 17478 F 12:00-12:50 'To Be Arranged'
Fall PHP0310 C24 17479 F 1:00-1:50 'To Be Arranged'
Fall PHP0310 C25 17480 F 2:00-2:50 'To Be Arranged'
Fall PHP0310 C26 17481 Arranged 'To Be Arranged'
Fall PHP0310 C27 17482 Arranged 'To Be Arranged'
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PHP 0320. Introduction to Public Health.

An introductory overview of the U.S. Public Health System with an emphasis on the core functions of public health, challenges and strategies for working with communities, and specific health issues that impact the health of the population. Presents a comprehensive overview of the environmental and behavior factors associated with health promotion and disease prevention.

Spr PHP0320 S01 25632 MWF 10:00-10:50(03) (M. Clark)
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PHP 0330. Public Health Policy.

PHP 0330 provides a comprehensive overview of the function, aims, methods, implementation, and evaluation of public health policy in the U.S. and globally. The course grounds public health policy within the broader framework of public policy, examining key legal, ethical, economic, and political issues, as well as issues grounded specifically in public health, paying particular attention to the tensions between policy and personal freedoms. PHP 0330 assumes that the pursuit of public health has two essential, conjoined goals: to reduce the burden of human disease and disability, and to eliminate health disparities, taking the position that health equity is a non-negotiable right and must be in the forefront of policy assessment, development, implementation, and evaluation. Although the course will focus on mature public health policy in the United States, it will do so within two broad perspectives, historical and global.

Spr PHP0330 S01 26698 TTh 9:00-10:20(01) (J. Fulton)
Spr PHP0330 C01 26699 W 4:00-4:50 (J. Fulton)
Spr PHP0330 C02 26700 Th 4:00-4:50 (J. Fulton)
Spr PHP0330 C03 26701 Arranged (J. Fulton)
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PHP 0400. Intro. to Health Disparities & Making Connection btw Structure, Social Determinants&Health Equity.

Course provides an introduction to the examination of health disparities in the U.S. Through assigned readings, lectures, guest speakers, and class discussions— this course will provide a broad overview of health disparities in the United States and examine them through intersecting structural and social determinants (e.g., race and ethnicity; gender; immigration status; socioeconomic position; age; sexual orientation; policy). This course also examines how stigma, residential segregation, implicit bias and the debates around genetics also contribute to health disparities. Lastly, we will also critically delve into the ethical dimensions, the role of social networks as well as behavioral health and public policy interventions. Community leaders will be invited to discuss their respective organizations, discuss ongoing community-university partnerships, advocacy, and networking.

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PHP 0650. From Manufacturer to Patient: Why is the Cost of Prescription Drugs So Darn High?.

In 2015, estimates of drug spend in the United States was about $457 billion and could be as high as $610 billion by 2021. The reasons for the continued escalating costs of prescription drugs are unclear. In this course we will examine the complex chain of discounts, rebates and markups that impact the price of a prescription drug from the manufacturer’s list price to the time it is dispensed to the patient. We will examine the role of major stakeholders in the drug supply chain including the manufacturer, wholesalers and distributors, pharmacy benefit managers and health plans. PHP 0310, Healthcare in the United States, is a prerequisite. Students who feel they have adequate background and understanding of health insurance, Medicare and Medicaid and model of care delivery and financing but have not taken PHP 0310 should contact instructor for override. Students must have basic knowledge of terms associated with managed care and healthcare issues routinely written about or featured in the news.

Spr PHP0650 S01 25792 TTh 10:30-11:50(09) (R. Aubert)
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PHP 0700. Global Public Health Interventions.

This is an introductory course designed to provide an overview of social and behavioral global health interventions. This course will introduce the history of global public health interventions and the philosophy of global public health including its core values, concepts, and functions. It will present an overview of design, implementation, and evaluation considerations for behavioral and social interventions in global settings with a particular focus on settings of resource scarcity. Furthermore, this course will focus on understanding the socio-economic, behavioral, biological, and other factors that impact human health and contribute to health disparities globally. To encourage participative learning, the class will collectively decide on 4-5 health topics to dive deeper into and apply knowledge learned at the beginning of the course to global health topics of interest.

Spr PHP0700 S01 26688 TTh 2:30-3:50(11) (J. Pellowski)
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PHP 0720. Public Health and the Environment.

This course approaches global public health through the lens of environmental determinants. We will examine our world’s changing environment and its relationship to health with particular focus on environmental health challenges in low- and middle-income countries (LMICs). Students will explore important environmental issues that impact population health and apply public health perspectives to understanding determinants of disease and contextualizing and addressing global health challenges.

Spr PHP0720 S01 26697 TTh 10:30-11:50(09) (N. Trivedi)
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PHP 0850. Fundamentals of Epidemiology.

As the cornerstone of public health, a strong foundation in epidemiology provides students with the ability to investigate, clarify and criticize claims of disease causation. This course provides students with a foundation in basic epidemiologic concepts and methods. Key measures of disease occurrence and effects used in epidemiology will be discussed; strengths and weaknesses of alternative epidemiologic study designs will be examined. Interpreting epidemiologic evidence to inform public health policy and practice will be emphasized throughout the course.

Open to Public Health concentrators and others by permission; Class limit 80.

Fall PHP0850 S01 17105 TTh 2:30-3:50(12) (S. Buka)
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PHP 1070. Global Burden of Disease.

This course offers a high-level introduction to global health. The course defines and critically examines key topics and concepts in global public health, through the interdisciplinary lens of epidemiology, demography, biomedicine, anthropology, sociology and psychology. Readings, lectures and in-class discussions explore changes in the underlying causes of morbidity and mortality during global transitions, the biological and social ecology of global disease patterns, and major efforts to address health outcomes in under-resourced settings. A required major term paper worth 50% of the final grade is the scholarly centerpiece of course; this is a rigorous semester-long project. There is a mid-term and a final exam. Regular in-class discussions and small group activities supplement the two exams and term paper. Guest lecturers cover different topics and offer different perspectives on how to engage with global health research and programs. Enrollment limited to 65.

Fall PHP1070 S01 17106 TTh 9:00-10:20(05) (A. Harrison)
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PHP 1100. Comparative Health Care Systems.

Focuses on principles of national health system organization and cross-national comparative analysis. Emphasizes application of comparative models to the analysis of health and health-related systems among nations at varying levels of economic development and health care reform. Addresses research questions related to population health and systems' performance. Enrollment limited to 30.

Fall PHP1100 S01 17107 MW 8:30-9:50(09) (C. Sammartino)
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PHP 1101. World of Food: Personal to Global Perspectives on Nutrition, Agriculture and Policy.

This course explores food and nutrition in the US and around the world through the lens of public health, economics, and agriculture. The online setting intentionally requires students to engage in and learn about their own community from perspectives likely not previously noticed. Students will read from many sources; will review documentary films; and will write for several audiences.
At the completion of this course, students will:
• Describe how nutrients are consumed through foods
• Explore food consumption in the US and abroad
• Describe US agricultural production techniques
• Propose policy changes to the current food system

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PHP 1160. The Global Burden of Mental Illness: A Public Health Approach.

Provides an introduction to the classification, epidemiology, etiology, treatment and potential prevention of psychiatric disorders from a population perspective. Reviews the magnitude and social burden associated with mental disorders worldwide and opportunities to enhance prevention and treatment.
Covers concepts and methods used to study mental illness at the population level, including definitions of “normality” and “pathology”, current classification systems and measurement approaches to assess psychopathology and severity and cross-cultural issues.
Covers the prevalence, risk factors, and etiology of major disorders of children, adolescents and adults, including autism spectrum disorders, attention deficit disorders, mood and anxiety disorders, schizophrenia and substance use disorders. PHP 0850 OR prior coursework in psychology, epidemiology, sociology or related fields.

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PHP 1300. Parenting Behaviors and Child Health.

Parents play an integral role in developing, supporting, and managing children's health-related behaviors. In this course, we will examine how parenting may influence child behaviors and health outcomes across the stages of development, from infancy through adolescence. We will explore parenting styles, knowledge, attitudes, and practices, including specific parenting behaviors in various domains such as food parenting and sleep parenting. Using socio-ecological models and a community-engaged approach, we will investigate how sociodemographic characteristics, culture, family structure, the physical environment, and other contextual factors impact parenting and subsequently child health behaviors and outcomes. There will be discussion of the unique experiences and stressors of diverse and/or non-traditional families including single parent households, families below the poverty line, LGBT families, and immigrant and/or racial/ethnic minorities. Finally, we will examine parenting as a modifiable intervention target to improve child health.

Fall PHP1300 S01 18553 Th 4:00-6:30(04) (T. von Ash)
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PHP 1400. HIV/AIDS in Africa: A Multidisciplinary Approach to Support HIV/AIDS Care and Treatment Programs.

The course is intended to challenge students from different disciplines to develop strategies to address the challenges of establishing and sustaining HIV/AIDS care and treatment programs in Africa. The course will begin with a general introduction to HIV/AIDS to provide a foundation wherein students will obtain a basic scientific and sociological understanding of the disease. Discussion topics on: the impact of AIDS, introducing antiretroviral therapy in Africa, monitoring and evaluating ARV therapy scale up and developing a country wide plan for a national laboratory system to support HIV/AIDS care and treatment will be facilitated through the use of case studies. Enrollment limited to 25 juniors and seniors. Graduate students with permission of instructor.

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PHP 1480. Introduction To Public Health Economics.

This course builds an understanding of the healthcare delivery and financing systems from a health economics perspective. It will draw examples that illustrate the production of and demand for health, healthcare, and health insurance. The goals of the course are twofold. First, it will provide the basic intuition of the fundamental economic models such as health production, demand for healthcare and demand for insurance. Second, it will introduce key empirical findings in the public health economics literature. Emphasis will be placed on key theoretical insights as well as practical and public health policy implications.

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PHP 1501. Essentials of Data Analysis.

This course covers the basic concepts of statistics and the statistical methods commonly used in the social sciences and public health with an emphasis on applications to real data. The first half of the course introduces descriptive statistics and the inferential statistical methods of confidence intervals and significance tests. The second half introduces bivariate and multivariate methods, emphasizing contingency table analysis, regression, and analysis of variance. This is designed to be a first course in Statistics. The course is intended for Public Health or Statistics concentrators. Others can register with instructor's permission. There are no prerequisites.

Fall PHP1501 S01 17109 TTh 1:00-2:20(08) (R. Gutman)
Fall PHP1501 L01 17110 M 2:00-2:50 (R. Gutman)
Fall PHP1501 L02 17111 W 1:00-1:50 (R. Gutman)
Fall PHP1501 L03 17112 F 9:00-9:50 (R. Gutman)
Fall PHP1501 L04 17113 F 11:00-11:50 (R. Gutman)
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PHP 1510. Principles of Biostatistics and Data Analysis.

This course is intended to provide a basic foundation in the methods and applications of biostatistics, and is geared towards the students whose fields of study include a substantial statistical or quantitative component. Ideally, this course is the first in a two-part sequence (the sequel being PHP 1511: Applied Regression), designed to provide students in the public health, biological and life sciences with broad-based exposure to modern methods of biostatistical inference, in addition to an understanding of underlying mathematical principles and motivations. Priority given to students concentrating in Public Health and Statistics. All others with instructor permission.

Fall PHP1510 S01 17114 TTh 9:00-10:20(05) (S. Dunsiger)
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PHP 1511. Applied Regression Analysis.

This course provides a survey of regression techniques for outcomes common in public health data including continuous, binary, count and survival data. Emphasis is on developing a conceptual understanding of the application of these techniques to solving problems, rather than to the numerical details. Extensive use of the computer will be made for analysis of datasets.

Spr PHP1511 S01 25638 TTh 9:00-10:20(01) (S. Dunsiger)
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PHP 1540. Alcohol Use and Misuse.

Reviews the epidemiology of alcohol use, abuse, and dependence and examines its neurobiological and behavioral underpinnings. Covers etiology including physiological, genetic, psychological and social cultural influences, and prevention, brief intervention and treatment considerations. Course background in psychology, sociology, or public health is recommended. Recommended prerequisites: PHP 0320 and CLPS 0010. Enrollment limited to 20 juniors, seniors, and graduate students.

Fall PHP1540 S01 17116 TTh 9:00-10:20(05) (J. Merrill)
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PHP 1560. Statistical Programming in R.

Statistical computing is an essential part of analysis. Statisticians need not only be able to run existing computer software but understand how that software functions. Students will learn fundamental concepts - Data Management, Data types, Data cleaning and manipulation, databases, graphics, functions, loops, simulation and Markov Chain Monte Carlo through working with various statistical analysis. Students will learn to write code in an organized fashion with comments. This course will be taught in a "flipped" format. Students will watch a series of videos and work through some simple coding examples before coming to class.

Fall PHP1560 S01 17118 TTh 9:00-10:20(05) (A. Paul)
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PHP 1600. Obesity in the 21st Century: Causes, Consequences and Countermeasures.

The scope of obesity knowledge is too large to cover during one single course, therefore we will focus primarily on obesity-related health outcomes, assessment of obesity, obesity epidemiology, social and behavioral correlates of obesity, obesity and stigma, policy and interventions across population groups. The readings for this course are multi-disciplinary in nature and integrate epidemiological, biological, sociological, political and philosophical perspectives. This course is specific to the United States and thusly all readings will reflect this contextual focus. Enrollment limited to 30.

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PHP 1610. Tobacco, Disease and the Industry: cigs, e-cigs and more.

This class will help students gain knowledge about tobacco use and cigarette smoking, nicotine addiction, novel new products, and the tobacco industry. We will cover the link between smoking, disease, and death; smoking prevalence and nicotine dependence; novel products such as e-cigarettes and Modified Risk Tobacco Products; the role of the tobacco industry; behavioral and pharmacological smoking cessation treatments; community, organizational, and media campaigns; tobacco policy; and, global tobacco control. The course is designed as a seminar course emphasizing class discussion and debate, as well as in-depth discussion of the assigned readings. Suggested prerequisites PHP 0850, PHP 2120, or PHP 2150

Spr PHP1610 S01 25639 T 1:30-4:00(11) (J. Ahluwalia)
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PHP 1650. Race, Racism and Health.

The primary aim of this course is to expose students to state-of-the-science conceptual and methodological approaches to critically analyze and identify strategies to address racial and ethnic health disparities. A multidisciplinary approach using readings from disciplines such as sociology, medicine, and biology will be used to provide a foundation for examining scientific literature and conducting intervention research on racial and ethnic health disparities.

Spr PHP1650 S01 25640 W 3:00-5:30(10) (D. Grigsby)
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PHP 1680I. Pathology to Power: Disability, Health and Community.

This course offers a comprehensive view of health and community concerns experienced by people with disabilities. Guest speakers, and hands on field research involving interactions with people with disabilities will facilitate the students gaining a multi-layered understanding of the issues faced by people with disabilities and their families.

Fall PHP1680I S01 17122 W 3:00-5:30(10) (S. Skeels)
Fall PHP1680I C01 17532 W 7:00-7:50 (S. Skeels)
Fall PHP1680I C02 17533 Th 12:00-12:50 (S. Skeels)
Fall PHP1680I C03 17534 Th 6:40-7:30 (S. Skeels)
Fall PHP1680I C04 17535 F 12:00-12:50 (S. Skeels)
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PHP 1680U. Intersectionality and Health Inequities.

This course examines health inequities in the U.S from an intersectionality perspective. Intersectionality is both a theory and methodology focused on the power dynamics between oppression and privilege and how various axes of social categories and systems interrelate on various and simultaneous levels. This framework critically examines how systemic injustice and social inequality transpires on a multidimensional basis. This course provides a broad overview of health disparities in the U.S., specifically, examining them through intersecting structural and social factors (e.g., race and ethnicity; gender; immigration status; socioeconomic position; age; sexual orientation; and the promise and limitations of public policy).

Spr PHP1680U S01 25642 Th 4:00-6:30(17) (J. Nazareno)
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PHP 1690. Technology and Health Behavior Change.

Lifestyle behaviors like poor diet, low physical activity, drug/alcohol use, and poor medication use contribute to some of the top causes of morbidity and mortality globally, including heart disease, diabetes and many cancers. Changing these behaviors is difficult and requires substantial, long-term effort and commitment on the part of both patients and providers. This course is a survey of computing systems and technologies that are designed to help users make healthier choices. We will explore how and why these systems work, the theories behind them, and how to find/evaluate the evidence supporting them, using both popular industry products and more experimental programs as examples. Students interested in gaining hands-on experience with these technologies and learning more about the processes behind their features should take this course.

Fall PHP1690 S01 17676 Th 4:00-6:30(04) (T. Wray)
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PHP 1700. Current Topics in Environmental Health.

This course is designed to introduce students to the field of environmental health, and demonstrate how environmental health is integrated into various aspects of our lives, both directly and indirectly. Topics to be covered include: toxic metals, vector-borne disease, food safety, water quality, radiation, pesticides, air quality, hazardous waste, risk assessment, and the role of the community in environmental health. Several topics will be presented by guest speakers so that students can learn from the expertise of professionals in the field. Enrollment limited to 65.

Fall PHP1700 S01 17127 TTh 10:30-11:50(13) (K. Kelsey)
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PHP 1710. Climate Change and Human Health.

Global climate change is occurring and these changes have the potential to profoundly influence human health. This course provides students with a broad overview of the diverse impacts of projected climate change on human health, including effects of changing temperatures, extreme weather events, infectious and non-infectious waterborne threats, vector-borne disease, air pollution, the physical and built environment and policies to promote mitigation and adaptation. Students will explore multiple sides of controversial issues through lively and informed class discussions, writing exercises, and participation in a series of end-of-term debates. Enrollment is limited to 20 students.

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PHP 1802S. Human Security and Humanitarian Response: Increasing Effectiveness and Accountability.

Disasters, natural and anthropogenic, pose significant threats to human security. Effective humanitarian action is important for both short and long-term responses to complex emergencies. The array of factors contributing to the economic and human losses experienced in both natural disasters and complex humanitarian emergencies are vast and complicated, and the strategies employed to mitigate and heal the damage caused by these disturbances must be equal to the task. This course covers diverse topics including the role of NGOs, UN agencies, local governments, peacekeepers and military in humanitarian response; economic impact of humanitarian aid; the evidence base for humanitarian interventions.

Fall PHP1802S S01 18051 TTh 2:30-3:50(12) (A. Levine)
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PHP 1820. Designing Education for Better Prisoner and Community Health.

This course will provide the needed background and context for understanding the multiple issues and challenges facing prisoners and the national justice and health systems that impact their lives. In addition to contextual background, students in this course will attain the knowledge and skills needed to develop a final practical, real world health communication/ intervention project that addresses one or more health literacy challenges facing people who are incarcerated and other low income, medically disenfranchised individuals. Students interested in taking the course must contact the professor directly for an application to obtain an override.

Spr PHP1820 S01 25644 MW 3:00-4:20(10) (B. Brockmann)
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PHP 1854. The Epidemiology and Control of Infectious Diseases.

Course objectives are to introduce students to methods and concepts in the study and control of infectious diseases. By the end of this course, students will have a solid foundation in the distribution, transmission, and pathogenesis of major infectious diseases that affect human populations. We will investigate methods to design and evaluate public health strategies to prevent or eliminate infectious diseases, including: outbreak investigation, disease surveillance, infection control, screening, and vaccination. The course is open to undergraduate students who have completed PHP 0320 or PHP 0850, and to graduate students who have completed or are concurrently enrolled in either PHP 2120 or PHP 2150.

Spr PHP1854 S01 25645 MW 9:00-10:20(02) 'To Be Arranged'
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PHP 1880. Meditation, Mindfulness and Health.

This course provides an overview on the relation of meditation and mindfulness (the ability to attend in a nonjudgmental way to one’s own physical and mental processes during ordinary, everyday tasks) with various health outcomes and disease risk factors such as depression, anxiety, diet, substance use, and cardiovascular disease. Mechanisms by which mindfulness may influence health will be addressed. The course will assess studies in the field for methodological rigor, and students will be taught strengths and weaknesses of current research. Students will be taught various mindfulness practices including direct experience with mindfulness meditation.

Fall PHP1880 S01 17128 TTh 2:30-3:50(12) (E. Loucks)
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PHP 1885. Measuring Mindfulness.

Recently, the cover of Time magazine declared a “mindful revolution” due to its popularity and growing body of research suggesting that mindfulness may help to treat a number of health-related problems from general stress to anxiety to addiction. However, little is known about the underlying mechanisms of how it works. This course will investigate the many ways that mindfulness is measured (e.g. self-report, behavior, EEG, fMRI etc.), and use these as a doorway for our own experiential exploration of what mindfulness is for ourselves.

Spr PHP1885 S01 25651 W 3:00-5:30(10) (S. Sun)
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PHP 1890. The Craving Mind.

We are creatures of habit. Driven by biological processes set up to help us survive, our minds are constantly craving experiences and substances—from smartphones to romance to alcohol—and this craving leads to habit formation. This course will explore the behavioral and mental processes that foster craving and consequent habit formation, the impact these have on individual and societal health, and how we can “hack” our own neurobiological reward circuitry using practices such as mindfulness, to foster greater health and wellbeing. Priority given to Public Health concentrators; all others with instructor permission.

Fall PHP1890 S01 17129 W 3:00-5:30(10) (J. Brewer)
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PHP 1900. Epidemiology of Disorders and Diseases of Childhood and Young Adulthood.

Students will learn about diseases and disorders of childhood and young adulthood, including allergies, autism, eating disorders, obesity, endometriosis, and migraines. Students will learn how these disorders are defined, how many youth are impacted, and the age-appropriate epidemiologic methods to study disorders and diseases during childhood, adolescence, and young adulthood, respectively. For the final project, students will pick a disease or disorder of interest that occurs during childhood, adolescence, or young adulthood, synthesize the results from multiple epidemiological studies, and concisely present this information in both a written report and an oral presentation.

Fall PHP1900 S01 17130 M 9:00-11:30(09) (A. Field)
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PHP 1910. Public Health Senior Seminar.

This dynamic course will provide an overarching public health capstone experience. Students will gain an in-depth knowledge by utilizing and strengthening oratory skills, written skills, and skills needed to work in teams. The instructor is formally trained in Internal Medicine, public health, health policy and clinical epidemiology, with experience which will be brought to the classroom. Topics will span public health successes, things that didn’t work, and things that need more work and effort. This seminar course will emphasize class discussion, interaction and debate regarding differing perspectives on each topic area, as well as in-depth discussion of the assigned readings.

Fall PHP1910 S01 17131 W 3:00-5:30(10) (J. Ahluwalia)
Fall PHP1910 S02 17132 W 3:00-5:30(10) (K. Konnyu)
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PHP 1920. Social Determinants of Health.

The course provides an overview of social determinants of health. Examples of topics include health effects of educational attainment, social integration, neighborhood socioeconomic characteristics, racial discrimination, gender, income inequality, childhood socioeconomic circumstances, parental neglect, and job strain. Mixed teaching methods are used, including small group discussions, problem-based learning and guest lectures. Open to graduate students and advanced undergraduates.

Fall PHP1920 S01 17133 M 3:00-5:30(03) (D. Grigsby)
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PHP 1964. Cancer Epidemiology and Prevention.

This course is aimed at enhancing the knowledge and skills central to the application of epidemiologic methods to cancer screening, prevention, and control. We will exam cancer incidence and trends in the U.S. and globally, interpret their implication for cancer etiology, and critically analyze current evidence regarding the role of various major risk factors on human cancer risks. The class will focus on the impact of major environmental, occupational, and lifestyle risk factors on cancers of high public health significance.

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PHP 1970. Independent Study.

A special project may be arranged in consultation with an individual faculty sponsor. Section numbers vary by instructor. Please check Banner for the correct section number and CRN to use when registering for this course.

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PHP 1980. Honors Thesis Preparation.

Two semesters of PHP 1980, Honors Thesis Preparation, will be devoted to the development and implementation of an Honors project, and of the writing of the Honors Thesis for the Public Health Concentration.

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PHP 2015. Foundations of Spatial Analysis in Public Health.

The distribution of power and privilege in society directly shapes where we live and what opportunities we have available to us for achieving optimal health and well-being. Describing how sociopolitical forces shape our neighborhoods and communities can help us understand how and why health and disease vary over space and time. In this course, we will use a combination of didactic lecture sessions and interactive tutorial sessions to develop our knowledge and skills as spatial thinkers and understand how geographic information system applications like ArcGIS can be used to collect, analyze, and visualize spatial data to inform, evaluate, and improve public health programs. In small groups, we will work together to conduct spatial analyses using data from programs delivered by the Rhode Island Department of Health to learn and apply best practices for conducting spatial analyses and communicating their results.

Fall PHP2015 S01 18090 MW 5:30-6:50 (W. Goedel)
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PHP 2018. Epidemiology of Cardio-Metabolic Health.

This course surveys the entire landscape of the nutritional, biochemical, and genetic aspects of cardiometabolic health addressing issues of obesity, diabetes, metabolic syndrome, and their micro- and macro-vascular complications. Students will learn about both the descriptive and analytical epidemiology of these seemingly distinct but clearly clustered disorders including the so-called metabolic syndrome comprehensively and in-depth. International comparison of prevalent data in different social contexts will also be reviewed, so that strategies for prevention by either changing our cultures or natures can be appreciated and debated with a better understanding of the related issues confronted by public health and medical professionals.

Spr PHP2018 S01 26401 T 9:30-12:00(01) (S. Liu)
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PHP 2019. Measurement Issues in Health Care.

Provides a theoretical and practical basis for measurement in health care. Introduces measurement theory, scale development, and criteria to be considered when choosing measures in clinical practice and research. Practical exercises include questionnaire development and a written research protocol for the development and validation of a new measure. Prerequisites: PHP 2120, 2130.

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PHP 2023. Maternal and Child Health in the United States.

This is a graduate level course focused on maternal and child health in the United States.
While some reference will be made to the experience in other countries, the focus of the course will be on the United States. A broad range of health conditions will be covered, with an emphasis on leading causes of mortality and morbidity. In addition, we will examine the range of programs designed to prevent or address important health threats.

Fall PHP2023 S01 17135 TTh 2:30-3:50(12) (P. Vivier)
Fall PHP2023 C01 17136 Th 4:00-5:30 (P. Vivier)
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PHP 2024. Engaged Scholarship in Maternal and Child Health.

This overall goal of this course is to help students develop the knowledge, skills and perspectives necessary to make contributions in the field of maternal and child health, with a particular focus on community-based or community serving interventions, research and evaluation. This includes the short-term goal of helping students prepare for internship, thesis or capstone work and the long-term goal of providing training for students’ future career in the field of maternal and child health. In the course students will: •expand their knowledge of current research in maternal and child health and explore the community context of the research.
•develop or refine a skill set that has applications in community-based interventions, research or evaluation.
•complete a community-based or community serving project as part of the Hassenfeld Child Health Innovation Institute ‘s Community of Learners.

Spr PHP2024 S01 26098 TTh 2:30-3:50(11) (P. Vivier)
Spr PHP2024 L01 26099 Th 4:00-5:30 (P. Vivier)
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PHP 2030. Clinical Trials Methodology.

We will examine the modern clinical trial as a methodology for evaluating interventions related to treatment, rehabilitation, prevention and diagnosis. Topics include the history and rationale for clinical trials, ethical issues, study design, protocol development, sample size considerations, quality assurance, statistical analysis, systematic reviews and meta-analysis, and reporting of results. Extensively illustrated with examples from various fields of health care research. Recommended prerequisites: introductory epidemiology and statistics. Pre-requisites: (PHP 2120 or PHP 2150) and either PHP 2508, 2510, or 2520. Open to graduate students only.

Fall PHP2030 S01 17137 M 1:00-3:30(06) (I. Saldanha)
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PHP 2040. Survey Research Methods.

Emphasizes the theory of sampling and survey methods and their application to public health research. Topics include: survey design and planning; principles of sampling and survey terminology; questionnaire construction; protection of human subjects; data collection (including interviewing and data coding procedures); and application, presentation, and evaluation of results. Suggested prerequisites: PHP 2120, and PHP 2508 or 2510. Open to graduate students only.

Spr PHP2040 S01 25655 M 3:30-6:00(13) (M. Clark)
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PHP 2060. Qualitative Methods in Health Research.

Introduces qualitative approaches to data collection and analysis in health research. Methods covered include: participant observation, key-informant interviews, focus groups, innovative data collection strategies, and non-obtrusive measures. Students will use applied projects to develop skills in: qualitative data collection and management, interviewing, transcript analysis using computerized software, triangulation between qualitative and quantitative data, and report preparation for qualitative studies. Enrollment limited to 20 graduate students.

Fall PHP2060 S01 17148 W 3:00-5:30(10) (E. Belanger)
Spr PHP2060 S01 25656 F 9:00-11:30(03) 'To Be Arranged'
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PHP 2071. Applied Public Health: Systems and Practice.

Applied Public Health is a two-semester sequence of courses designed to give students the skills and experiences they need to master understanding public health and health care systems, policy in public health, leadership, communication, interprofessional practice, and systems thinking. This will be achieved through a combination of lectures, in class exercises, homework assignments, and practical experience in a public health setting. The first course in the sequence (PHP 2071) is taken in the Spring of your first year.

Spr PHP2071 S01 25658 T 1:00-2:20(08) 'To Be Arranged'
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PHP 2072. Applied Public Health: Policy, leadership and communication.

Applied Public Health is a two-semester sequence of courses designed to give students the skills and experiences they need to master understanding public health and health care systems, policy in public health, leadership, communication, interprofessional practice, and systems thinking. This will be achieved through a combination of lectures, in class exercises, homework assignments, and practical experience in a public health setting. The second course (PHP 2072) is taken in the Fall of your second year.

Fall PHP2072 S01 17139 T 1:00-2:20(08) (A. Gjelsvik)
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PHP 2090. Research Grant Writing for Public Health.

This course focuses on providing knowledge and experience in creating high quality public health research grant applications. Course objectives include developing significant and innovative scientific hypotheses, learning principles of effective written communication, and developing a research grant application suitable to submit for funding. Designed for Public Health School PhD students, post-doctoral fellows, and Masters students with advanced degrees (e.g. MD, PhD). Prerequisite: PHP 2120 or PHP 2150 or instructor permission.

Fall PHP2090 S01 17140 W 9:30-12:00(14) (J. Braun)
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PHP 2120. Introduction to Methods in Epidemiologic Research.

Epidemiology quantifies patterns and determinants of human population health, with a goal of reducing the burden of disease, injury, and disability. An intensive first course in epidemiological methods, students learn core principles of study design and data analysis through critiques of published epidemiological studies as well as hands on practice through weekly exercises and assignments. This is a graduate-level course aimed at masters and PhD students. The course is not open to first year students or sophomores but may be available for advanced undergraduates with the instructor's permission.

Fall PHP2120 S01 17141 TTh 10:30-11:50(13) (M. Lurie)
Spr PHP2120 S01 26248 TTh 6:00-7:20(18) (O. Panagiotou)
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PHP 2130. Human Biology for Public Health.

This course provides basic principles of human biology and its applications to public health. Examples of biology topics include the cardiovascular system, endocrine system, immune system, nervous system, genetics, cancer, cardiovascular disease, HIV/AIDS, and depression. Examples of applied topics include strengths and weaknesses of using biomarkers, accuracy and precision of biological measures, quality assurance and quality control methods for using biomarkers for public health research. Mixed teaching methods are used, including small group discussions, problem-based learning and guest lectures. Prerequisite: PHP 2120 (may be taken concurrently) or instructor permission. Enrollment limited to 20 graduate students.

Spr PHP2130 S01 25662 F 9:30-12:00(02) (K. Kelsey)
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PHP 2150. Foundations in Epidemiologic Research Methods.

The overall objective of this course is to provide students with a strong foundation in epidemiologic research methods. This is the first of a two- or four-course sequence in epidemiologic methods aimed at students who expect to eventually conduct their own epidemiologic research. There will be a strong quantitative focus in this course. By the end of the foundations course, students should be sufficiently familiar with epidemiologic research methods to begin to apply these methods to their own work. Prerequisite: PHP 2507 or 2510 (either may be taken concurrently); the typical student will also have some introductory knowledge of epidemiology.

Fall PHP2150 S01 17142 TTh 10:30-11:50(13) (B. Marshall)
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PHP 2160. The Global Burden of Mental Illness: A Public Health Approach.

Provides an introduction to the classification, epidemiology, etiology, treatment and potential prevention of psychiatric disorders from a population perspective. Reviews the magnitude and social burden associated with mental disorders worldwide and opportunities to enhance prevention and treatment.

Covers concepts and methods used to study mental illness at the population level, including definitions of “normality” and “pathology”, current classification systems and measurement approaches to assess psychopathology and severity and cross-cultural issues.

Covers the prevalence, risk factors, and etiology of major disorders of children, adolescents and adults, including autism spectrum disorders, attention deficit disorders, mood and anxiety disorders, schizophrenia and substance use disorders.

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PHP 2180. Interpretation and Application of Epidemiology.

This course builds upon the foundation of introductory epidemiology and a basic understanding of quantitative and conceptual methods, with a focus on the interpretation of the strength and meaning of epidemiologic findings. The goal is to help students develop critical thinking skills in order to become more sophisticated interpreters of epidemiologic evidence for guiding policy, clinical practice, and individual decisions, combining subject matter knowledge and epidemiologic methods to wisely evaluate the available research findings. We will focus on judging causality and identifying gaps that future research would need to fill to strengthen our understanding. Prerequisite required or permission of instructor.

Spr PHP2180 S01 25663 Th 2:30-5:00(11) (D. Savitz)
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PHP 2200. Intermediate Methods in Epidemiologic Research.

This second course in epidemiologic methods reinforces the concepts and methods taught in PHP 2150, with in-depth instruction in issues of study design, assessing threats to study validity including confounding and selection bias, and analyzing data with standard regression models. The course emphasizes hands-on learning and includes a combination of didactic lectures, discussions of methodologic papers, and a required laboratory component where students will learn to apply the concepts learned in class to real-world problems. Prerequisites: PHP 2150 and either PHP 2510 or PHP 2507, and PHP 2511 or PHP 2508 (which either can be taken concurrently) or permission of the instructor.

Spr PHP2200 S01 25664 W 2:30-5:00(10) (N. Joyce)
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PHP 2220B. Nutritional Epidemiology.

This course provides a comprehensive and systematic review of contemporary issues in human nutrition that require the application of epidemiologic principles and quantitative methods. Substantive topics range from the assessment of molecular etiologies for health and disease outcomes to evidence-based development of clinical guidelines and public health policies for foods and dietary supplements. This course is designed for graduate trainees in public health or the division of biology and medicine, visiting fellows, and advanced undergraduates who want to understand or conduct research in human nutrition and dietary assessment related to health and diseases.

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PHP 2220E. Topics in Environmental and Occupational Epidemiology.

This course introduces students to the epidemiological study of historical and contemporary environmental/occupational agents, focusing on study design, biases, and methodological tools used to evaluate and extend the evidence linking exposures to human disease. The course will discuss applications, strengths, and limitations of different study designs and their use in studying specific environmental agents. Didactic lectures and student-led discussions will be used to provide students with a basic understanding of and the tools to apply/extend their knowledge of specific environmental agents (endocrine disruptors) and special topics (children's neurodevelopment). Prerequisite: PHP 2120, PHP 2150, or equivalent. Undergrads with PHP 0850 and instructor's permission.

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PHP 2220F. Reproductive and Perinatal Epidemiology.

This course provides an overview of topics related to reproduction, pregnancy, maternal and child outcomes of pregnancy, and long-term consequences related to reproductive health. Methodological issues unique to reproductive and perinatal epidemiology are discussed, as well as general epidemiologic methods as applied to topics in reproductive and perinatal health. Class sessions will include lectures and discussions of published research studies, with active student participation expected. After several introductory lectures, students will select topics and be responsible for organizing a presentation and discussion under the instructor’s supervision.

Fall PHP2220F S01 17884 Th 4:00-6:30(04) (B. Berger)
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PHP 2220H. The Epidemiology, Treatment and Prevention of HIV.

The purpose of this seminar is to use HIV as an example to introduce students to a variety of methodological issues in the epidemiologic study of infectious diseases. While we will study the treatment and prevention of HIV in detail, emphasizing the current state of knowledge and critiquing the most recent literature, this course aims to use HIV as an example to better understand the variety of methodological issues in global and domestic infectious disease epidemiology today. Enrollment limited to 25 students. Prerequisites: PHP 0850 or PHP 1854 (undergraduates); PHP 2120 or 2150 and PHP 2508 or 2511 (graduate students).

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PHP 2235. Pandemics in Global Perspective: From HIV/AIDS to COVID-19.

The objective of this course is to examine key epidemiological methods used for studying and preventing global pandemics. Focusing on two pandemics that played out on different time scales, HIV/AIDS and COVID-19, students will use these two examples of pandemics to better understand the natural history, distribution, pathogenesis, transmission and prevention of infectious diseases globally. We will pay particular attention to issues of disease measurement and the complexities of gathering and interpreting data during an ongoing crisis. We will explore the transmission events that fueled the pandemics under consideration; the social, political and disease dynamics that exacerbated the spread of these infections; efforts to stem their flow, from non-pharmaceutical interventions like social distancing (and the HIV equivalent of limiting the number of sex or needle-sharing partners) to biomedical interventions including therapeutics and vaccines.

Fall PHP2235 S01 18013 F 11:30-2:00(15) (M. Lurie)
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PHP 2250. Advanced Quantitative Methods in Epidemiologic Research.

This course provides students with conceptual and quantitative tools based on counterfactual theory and causal diagrams (e.g., DAGs) to make causal inference using data obtained from observational studies. Causal diagrams will be used to provide alternative definitions of, provide clarifications regarding, or inform minimizing common biases. Non-, semi-, and fully parametric methods for minimizing bias will be discussed. These methods include standard regression, instrumental variables, propensity scores, inverse probability weighting, and marginal structural models. Settings when such methods may not be appropriate will be emphasized. Prerequisite: PHP 2200 and 2511; or PHP 2200 and 2508; or instructor permission.

Fall PHP2250 S01 17153 TTh 1:00-2:20(08) (C. Howe)
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PHP 2260. Applied Epidemiologic Data Analysis.

This course will lead students through the process of writing a journal-style manuscript based on performing applied epidemiologic data analysis using statistical software (i.e., SAS). This course is best suited for students who already have a research idea in mind and data in hand prior to the start of the course or are able to develop a research question based on de-identified publicly available population-based datasets that will be recommended in the course. Course enrollment is restricted to graduate students.

Fall PHP2260 S01 17154 W 9:00-11:30(14) (S. Rosenthal)
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PHP 2300. Research Methods in Behavioral Science.

This course provides students with fundamental principles of behavioral and social research methodology for understanding the determinants of public health problems, and for executing and testing public health interventions. We will focus on experimental methods, observational studies, and qualitative approaches. We will develop skills in understanding and interpreting data--both quantitative and qualitative. Throughout the course we will emphasize ethical, cultural, and professional issues for designing public health interventions. Prior coursework in research methodology and quantitative methods is recommended but not required. Open to graduate students and advanced undergraduates. Enrollment limited to 15.

Fall PHP2300 S01 17155 Th 4:00-6:30(04) (D. Operario)
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PHP 2325. Place Matters: Exploring Community-Level Contexts on Health Behaviors, Outcomes and Disparities.

As with many health-related outcomes, the prevalence of ill health is unequally distributed across populations, with certain community features playing significant roles in shaping health. In this course, we will explore the features of place and the associations with health behaviors and health outcomes. The readings for this course are multi-disciplinary in nature and integrate epidemiological, biological, sociological, political and philosophical perspectives. This course is specific to the United States. The course activities will culminate with neighborhood audits, presentations, and policy briefs. Due to the course structure and activities, it is limited to 12 graduate students.

Fall PHP2325 S01 17156 T 9:00-11:30(05) (A. Dulin)
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PHP 2330. Behavioral and Social Approaches to HIV Prevention.

This course examines concepts, approaches, and empirical findings from behavioral and social research to prevent HIV transmission. Students will become familiar with behavioral theories, social epidemiological principles, intervention design, and debates within the field of HIV prevention. A particular focus of this course is on the linkages between science and HIV prevention practice/policy. Students will conduct weekly readings, engage actively in seminar discussions, and participate in small-group presentations and research activities. Prior coursework in public health research methodology is recommended. Prerequisites: Graduate student or senior public health concentrator. Enrollment limited to 15 advanced undergraduate, graduate and medical students.

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PHP 2340. Behavioral and Social Science Theory for Health Promotion.

This course will help students become familiar with behavioral and social science theories commonly used for planning disease prevention/health promotion interventions. In addition to review of specific theories, topics to be discussed include: how theories are developed and tested; challenges and potential pitfalls in using theory for intervention planning; and creation of causal diagrams based on concepts from theories. Undergraduates need permission of instructor; priority will be for Public Health concentrators. Enrollment limited to 25.

Fall PHP2340 S01 17157 W 9:30-12:00(14) (D. Williams)
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PHP 2345. Affect, Emotion, and Health Behavior.

The purpose of this class is to learn about and discuss theory and research on affective determinants of health-related behaviors across multiple behavioral domains. The common thread through the entire course is that health-related behavior is the dependent variable and affect or emotion is the putative determinant. That is, this is a course about how affect and emotion influences health-related behavior. Although we will, in some instances, discuss the effects of health-related behavior on affect and emotion, emotion and mood are NOT considered to be the outcome of interest.

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PHP 2355. Designing and Evaluating Public Health Interventions.

Previously listed as PHP 1740. Examines health behavior decision-making and elements for design of health promotion interventions. Covers theories of health behavior (focusing on primary and secondary prevention), principles of intervention design, and reading of research literature. Emphasizes psychological, social, and proximate environmental influences on individuals' health-related behaviors. Restricted to undergraduates in the AB/MPH program, and graduate students. Prerequisite: PHP 0320 or equivalent. Enrollment limited to 35.

Fall PHP2355 S01 17158 MW 1:00-2:20(06) (P. Risica)
Spr PHP2355 S01 25671 MW 1:00-2:20(06) (T. Wray)
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PHP 2360. Developing + Testing Theory-Driven, Evidence Based Psychosocial and Behavioral Health Interventions.

This is a graduate-level course designed to provide students with the knowledge and research skills necessary to develop and ultimately test a theory-driven, evidence-based psychosocial or health behavior change intervention. Drawing on research, theory, and practice, students learn how to conduct formative research to inform the content, structure, and format of an intervention, set goals/objectives, develop intervention materials/messages, and evaluate outcomes – all while taking into account factors such as gender, sexuality, race/ethnicity, poverty, culture, social-support/social-capital, etc. Research methods that are relevant for examining efficacy, including study-design, power/sample size calculations, fidelity monitoring, randomization, control conditions, measures selection/assessment, data collection, etc. are covered. Prerequisite: PHP2340 or instructor permission

Spr PHP2360 S01 25672 W 1:00-3:30(06) (B. Marcus)
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PHP 2361. Proseminar in Health Behavior Intervention Research.

This course is required for doctoral students in Behavioral and Social Health Sciences. Students will consider advanced topics related to designing, implementing, and evaluating behavioral and social interventions to promote health. The course is designed as a proseminar, emphasizing discussion of primary readings and presentations by experienced intervention researchers.

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PHP 2365. Public Health Issues in LGBT Populations.

This seminar is designed for graduate students interested in health disparities and determinants of health in LGBT populations (also referred to as sexual and gender minority populations). Students will become familiar with key epidemiological reports, behavioral and social science theories/frameworks, intervention studies, and scientific debates related to the determinants of and disparities affecting the health of LGBT and sexual and gender minority populations. The course will focus primarily on US populations, but will also include global LGBT and sexual and gender minority populations. Readings and discussion will be considered in light of social, policy, and cultural contexts that frame the lives of LGBT populations.

Spr PHP2365 S01 26241 M 3:30-6:00(13) (D. Operario)
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PHP 2370. Etiology of Substance Use Disorders.

This course will help students become familiar with behavioral, genetic, neurobiological, and cultural factors related to the onset and course of substance use disorders. In addition to review of specific theories, empirical evidence supporting models will be covered as will the integration of evidence across models. Priority will be given to postdoctoral fellows. BSHS students should take the class for a grade (ABC/NC), special students/postdocs should choose S/NC grade option

Fall PHP2370 S01 17160 F 1:15-3:45(01) (P. Monti)
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PHP 2371. Psychosocial and Pharmacologic Treatment of Substance Use Disorders.

Intended to provide an overview of the history of the treatment of substance use disorders; assessment methods designed to determine progress in substance use treatment; and the current most common types of psychosocial and pharmacologic treatments for substance use. Enrollment limited to 20 graduate and medical students. Instructor permission required. BSHS students should take the class for a grade (ABC/NC), special students/postdocs should choose S/NC grade option.

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PHP 2375. Communicating Science to Lay Audiences.

There is a growing need to translate scientific evidence to lay audiences as a way to foster trust in science and facilitate uptake of behavior changes and evidence-based best practices in health policies. However, many researchers do not have the training to disseminate their research to lay audiences. In this course, you will engage in hands-on training to develop lay summaries, animated video scripts, policy briefs, infographics, op-eds and presentations. Each class will be devoted to a few readings and discussion followed by in-class practice of the assigned deliverable. You will focus on one specific article for most activities, lay summary, video script and presentation, and the article related topic area for the policy brief, infographic and op-ed. We will focus on three topic areas - HIV, substance use and obesity. This course is limited to 12 students.

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PHP 2380. Health Communication.

This class will explore Health Communication, with a focus on behavioral and social science interventions delivered through health communication programs. The course is structured so that basic building blocks (i.e., definitions of health communication, public health context for health communications interventions, theories of health communication and health behavior change) are presented sequentially early in the semester. Students will synthesize knowledge and demonstrate their understanding of the role of health communication through a final research project. Seniors with concentration in Public Health may enroll with instructor's permission. Enrollment limited to 20 graduate and medical students.

Spr PHP2380 S01 25674 M 2:30-5:00(10) (K. Carey)
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PHP 2400. The U.S. Health Care System: Case Studies in Financing, Delivery, Regulation and Public Health.

Reviews the development of the health care delivery, financing and regulatory control systems in the U.S. and reviews the literature on the relationship between health system structure and the services used and health outcomes that populations experience. A case-study approach is used to understand the inter-relationship between financing, delivery and regulatory components of the health system and their implication for public health by drawing on epidemiological, economic, political and sociological principals. Prerequisites: Graduate standing or PHP 0310 and instructor permission.

Spr PHP2400 S01 25677 F 1:00-3:30(07) (C. Koller)
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PHP 2410E. Medicare: A Data Based Policy Examination.

This course will explore the role of Medicare as America's health insurer for the elderly and disabled through the use of real Medicare insurance claims data, examining how Medicare policy changes in financing and regulation have affected the delivery and receipt of medical services. At the end of the course students will: 1) know the history of important Medicare policy changes; 2) be able to construct aggregated patient case mix acuity adjusted measures of provider quality using insurance claims data; 3) be able to conduct policy analyses using Medicare claims data that are sensitive to standardized coding schemes. Enrollment limited to 15 graduate students. Prerequisite: PHP 2120, 2508, or 2510. Instructor permission required.

Fall PHP2410E S01 17161 Th 12:00-2:30(08) (V. Mor)
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PHP 2415. Introduction to Evidence-based Medicine.

Unbiased assessments of the scientific literature by means of research synthesis methods are critical for formulating public health policy, counseling patients or prioritizing future research. We focus on the methods and uses of systematic reviews and meta-analyses and their applications in medicine and health policy. After course completion, and with some direction, students will be able to undertake a basic systematic review or meta-analysis. Enrollment limited to 15. Prerequisites: PHP 2120, 2150, or 2460; and PHP 2507/08 or 2510/11 (2508 and 2511 may be taken concurrently); and clinical background or training in basic concepts in medicine (must discuss with instructor).

Spr PHP2415 S01 25679 W 9:00-11:30(02) (T. Trikalinos)
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PHP 2440. Introduction to Pharmacoepidemiology.

The course will focus on substantive topics in pharmacoepidemiology, including relevant principles of pharmacology, inference from spontaneous case reports, study design considerations, premarketing pharmacoepidemiology, common data sources for pharmacoepidemiologic studies, drug utilization review, adherence, and the development, implementation, and assessment of therapeutic risk management policies. The course will also focus on issues in pharmacovigilance, including the legal and historical basis of pharmacovigilance, evaluation of individual adverse drug events, signal detection, active safety surveillance, and medication errors. A clinical background is not required. Prerequisites are PHP 2507, PHP 2508, PHP 2510, or PHP 2511, AND PHP 2120 or PHP 2150, or permission.

Spr PHP2440 S01 25680 T 9:30-12:00(09) (T. Shireman)
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PHP 2445. Minding the Gap: The U.S. Healthcare Safety Net.

The right to access affordable, quality health care in the US is not guaranteed. During our nation’s history, a patchwork quilt of programs, referred to collectively as the safety net, has been crafted to address health care needs for a wide range of people who fall through the cracks. This course examines its structure, function, and effects. We introduce key features of the safety net: access, cost, quality, and outcomes. We pay particular attention to the nation’s largest program, Medicaid. We highlight the unique challenges facing vulnerable groups: legal and illegal immigrants, homeless populations, veterans, and people with disabilities.

Fall PHP2445 S01 17162 TTh 10:30-11:50(13) (T. Shireman)
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PHP 2450. Measuring and Improving the Quality of Health Care.

The quality of health care in the United States is in urgent need of improvement. This course will focus on the science of measuring and improving the quality of health care. Topics will include quality assessment, patient safety, medical errors, public reporting, financial incentives, organizational change, and health care disparities. Students will engage in a team-based quality improvement project. Open to graduate and medical students only.

Fall PHP2450 S01 17163 M 3:00-5:30(03) (A. Trivedi)
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PHP 2451. Exchange Scholar Program.

Fall PHP2451 S01 15746 Arranged 'To Be Arranged'
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PHP 2455A. Health Services Research Methods I.

Health services researchers use theories, models, and data to understand the health care system, assess the effectiveness of interventions (at multiple levels of the healthcare system), and inform health policy decisions. This course reviews the application of statistical and epidemiological principles to the design and analysis of health services research studies. The goal is to familiarize students with common study designs and methods in health services research, so that they can critically review the published literature and use these approaches in their own research.

Fall PHP2455A S01 17164 M 1:00-3:30(06) (D. Meyers)
Fall PHP2455A C01 17896 Th 4:30-5:30 (D. Meyers)
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PHP 2455B. Health Services Research Methods II.

This course covers commonly used statistical (regression) models for health services research, including survival analysis; examines the problem of missing data and strategies for addressing it; and provides a basic introduction to causal inference methods for time-varying exposures (including non-adherence). The goal is to familiarize students with important methods in applied work, so they can critically review the published literature and use the methods in their own research.The topics covered should be of interest to students in Health Services, Policy + Practice, Epidemiology, Economics, and beyond. Pre Requisites: Successful completion of PHP 2455A or instructor permission. Interested students who have not taken PHP 2455A should contact issa_dahabreh@brown.edu to make arrangements. Those with adequate background in basic health services research or epidemiologic methods and regression analysis will be able to gain from this course, even if they have not taken PHP 2455A.

Spr PHP2455B S01 25681 M 1:00-3:30(06) (D. Meyers)
Spr PHP2455B L01 26284 Th 4:30-5:30 (D. Meyers)
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PHP 2465A. Introduction to Health Decision Analysis.

Many decisions in health are value-laden, involve competing objectives, or must be made under uncertainty. Health decision analysis is a structured approach to thinking through such decisional problems. This course introduces decision analysis and cost-effectiveness analysis for public health and clinical problems. It covers basic theory for decisionmaking; principles and techniques for mathematical modeling; and implementation, by analyzing archetypical decisional problems in health. Pre Requisites: Some facility with mathematical notation and basic concepts in probability (advanced undergraduate students can enroll after instructor approval). Recommended course: DATA 1010, MATH 1610, or APMA 1690.

Fall PHP2465A S01 17165 W 1:00-3:30(01) (T. Trikalinos)
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PHP 2470. Topics in Clinical, Translational and Health Services Research.

Through a combination of mini-courses and seminars, students will explore concepts, gain knowledge and develop skills in a variety of public health areas. To receive a half credit for this course, students will be required to successfully complete 70 units. Units must be pre-determined by the course instructor and the unit instructor. Units are generally based on the number of in-person contact hours and the number of outside of class/homework hours required for a mini-course or seminar. Students must receive special permission from the instructor or be accepted to the Clinical and Translational Research Summer Institute to enroll.

Fall PHP2470 S01 18275 Th 3:30-5:00(04) (A. Trivedi)
Spr PHP2470 S01 25682 Th 3:30-5:00(11) (A. Trivedi)
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PHP 2480. Selected Topics in Global Health Economics.

This course will survey selected topics in global health economics. It is designed to introduce students to specific issues, theory and practice of health economics at the global level. The first part of the course will survey research papers on econometric methods in global health including: field experiments, instrumental variables, propensity score matching and regression discontinuity. The second part will discuss current topics such as: conditional economic incentives for providers and consumers, social health insurance, public goods, and externalities. Prerequisites: PHP 2511 and ECON 1110, or equivalent. Enrollment limited to 8 graduate students. Instructor permission required.

Spr PHP2480 S01 25683 F 9:30-12:00(02) (O. Galarraga)
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PHP 2507. Biostatistics and Applied Data Analysis I.

The objective of the year-long, two-course sequence is for students to develop knowledge, skills and perspectives necessary to analyze data to answer public health questions. The year-long sequence focuses on statistical principles as well as the applied skills necessary to answer public health questions using data, including: data acquisition, data analysis, data interpretation and the presentation of results. Using lectures, labs and small group discussions, we focus on evaluating data sources, refining research questions, univariate and bivariate analyses, and presentation of initial results. Prerequisite: understanding of basic math concepts and terms. Enrollment limited to 50 students. Instructor permission required.

Fall PHP2507 S01 17166 Th 1:00-2:20(17) (A. Gjelsvik)
Fall PHP2507 S01 17166 W 6:30-8:00PM(17) (A. Gjelsvik)
Fall PHP2507 L01 17167 T 9:00-10:20 (A. Gjelsvik)
Fall PHP2507 L02 17168 T 5:30-6:50 (A. Gjelsvik)
Fall PHP2507 L03 17169 W 1:00-2:20 (A. Gjelsvik)
Fall PHP2507 L04 17170 W 5:00-6:20 (A. Gjelsvik)
Fall PHP2507 L05 17484 T 3:00-4:20 (A. Gjelsvik)
Fall PHP2507 L06 17773 Arranged (A. Gjelsvik)
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PHP 2508. BioStatistics and Data Analysis II.

Biostatistics and Applied Data Analysis II is the second course in a year-long, two-course sequence designed to develop the skills and knowledge to use data to address public health questions. The sequence is completed in one academic year, not split across two years. The courses focus on statistical principles as well as the applied skills necessary to answer public health questions using data, including: acquisition, analysis, interpretation and presentation of results. This spring semester course focuses on regression, interpretation of results, and communication of results. Prerequisite: PHP 2507. Enrollment limited to 50. Instructor permission required.

Spr PHP2508 S01 25718 Th 1:00-2:20(08) (A. Gjelsvik)
Spr PHP2508 S01 25718 W 6:30-8:00PM(08) (A. Gjelsvik)
Spr PHP2508 L01 25719 T 9:00-10:20 (A. Gjelsvik)
Spr PHP2508 L02 25720 T 5:30-6:50 (A. Gjelsvik)
Spr PHP2508 L03 25721 W 9:30-10:50 (A. Gjelsvik)
Spr PHP2508 L04 25722 W 5:00-6:20 (A. Gjelsvik)
Spr PHP2508 L05 26285 T 3:00-4:20 (A. Gjelsvik)
Spr PHP2508 L06 26286 Arranged (A. Gjelsvik)
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PHP 2510. Principles of Biostatistics and Data Analysis.

Intensive first course in biostatistical methodology, focusing on problems arising in public health, life sciences, and biomedical disciplines. Summarizing and representing data; basic probability; fundamentals of inference; hypothesis testing; likelihood methods. Inference for means and proportions; linear regression and analysis of variance; basics of experimental design; nonparametrics; logistic regression. Priority given to students in School of Public Health graduate programs. All others with instructor permission. Undergraduates are encouraged to enroll in PHP1510.

Fall PHP2510 S01 17115 TTh 9:00-10:20(05) (S. Dunsiger)
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PHP 2511. Applied Regression Analysis.

Applied multivariate statistics, presenting a unified treatment of modern regression models for discrete and continuous data. Topics include multiple linear and nonlinear regression for continuous response data, analysis of variance and covariance, logistic regression, Poisson regression, and Cox regression. Prerequisite: APMA 1650 or PHP 2510. Open to advanced undergraduates with permission from the instructor.

Spr PHP2511 S01 25686 TTh 9:00-10:20(01) (S. Dunsiger)
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PHP 2514. Applied Generalized Linear Models.

This course provides a survey of generalized linear models (GLMs) for outcomes including continuous, binary, count, survival and correlated data. This course will work through the basic theories of GLMs. Emphasis will be on understanding the implications of this theory and the applications to solving real data problems. Extensive use of computer programming will be required to analyze the data in this class. This course is designed for graduate and advanced undergraduate students who will be analyzing data and want to develop a practical hands on toolkit as well as understanding of the theoretical underpinnings of regression. Non-Biostatistics graduate students who have taken APMA1650, PHP2515, or PHP2520 (or an equivalent course) can request instructor permission to enroll.

Fall PHP2514 S01 17171 TTh 1:00-2:20(08) (S. Chrysanthopoulou)
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PHP 2515. Fundamentals of Probability and Statistical Inference.

This course will provide an introduction to probability theory, mathematical statistics and their application to biostatistics. The emphasis of the course will be on basic mathematical and probabilistic concepts that form the basis for statistical inference. The course will cover fundamental ideas of probability, some simple statistical models (normal, binomial, exponential and Poisson), sample and population moments, nite and approximate sampling distributions, point and interval estimation, and hypothesis testing. Examples of their use in modeling will also be discussed.

Fall PHP2515 S01 17172 MW 9:00-10:20(09) (A. Oganisian)
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PHP 2516. Applied Longitudinal Data Analysis.

This course provides a survey of longitudinal data analysis. Topics will range from exploratory analysis, study design considerations, GLM for longitudinal data, covariance structures, generalized linear models for longitudinal data, marginal models and mixed effects. Data and examples will come from medical/pharmaceutical applications, public health and social sciences.

This course is designed for graduate and advanced undergraduate students who will be analyzing data and want to develop a practical hands on toolkit as well as understanding of the theoretical underpinnings of regression. Students in this class will need an understanding of how to work with Stata. Prereq is: PHP 2511 or PHP 2514; PHP 2508 with Permission from Instructor.

Spr PHP2516 S01 25699 MW 9:00-10:20(02) (S. Chrysanthopoulou)
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PHP 2517. Applied Multilevel Data Analysis.

This course provides a survey of multilevel data analysis. Topics will range from structure of multilevel data, basic multilevel linear models, multilevel GLM, Model testing and evalatuation and missing data imputation. Data and examples will be drawn from medical, public health and social sciences. Students will be using real data throughout this course.

This course is designed for graduate and advanced undergraduate students who will be analyzing data and want to develop a practical hands on toolkit for multilevel analysis. Students in this class will need an understanding of how to work with R. Prereq is: PHP 2511 OR PHP 2514; PHP 2508 with Permission from Instructor.

Spr PHP2517 S01 25701 MW 9:00-10:20(02) (S. Chrysanthopoulou)
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PHP 2520. Statistical Inference I.

First of two courses that provide a comprehensive introduction to the theory of modern statistical inference. PHP 2520 presents a survey of fundamental ideas and methods, including sufficiency, likelihood based inference, hypothesis testing, asymptotic theory, and Bayesian inference. Measure theory not required. Open to advanced undergraduates with permission from the instructor.

Fall PHP2520 S01 17176 MW 9:00-10:20(09) (Z. Wu)
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PHP 2530. Bayesian Statistical Methods.

Surveys the state of the art in Bayesian methods and their applications. Discussion of the fundamentals followed by more advanced topics including hierarchical models, Markov Chain Monte Carlo, and other methods for sampling from the posterior distribution, robustness, and sensitivity analysis, and approaches to model selection and diagnostics. Features nontrivial applications of Bayesian methods from diverse scientific fields, with emphasis on biomedical research. Prerequisites: APMA 1650, PHP 2510, PHP 2511, or equivalent. Open to advanced undergraduates with permission from the instructor.

Spr PHP2530 S01 25702 TTh 1:00-2:20(08) (J. Hogan)
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PHP 2550. Practical Data Analysis.

Covers practical skills required for successful analysis of scientific data including statistical programming, data management, exploratory data analysis, simulation and model building and checking. Tools will be developed through a series of case studies based on different types of data requiring a variety of statistical methods. Modern regression techniques such as cross-validation, bootstrapping, splines and bias-variance tradeoff will be emphasized. Students should be familiar with statistical inference as well as regression analysis. The course will use the R programming language.

Fall PHP2550 S01 17177 MW 10:30-11:50(16) (A. Paul)
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PHP 2560. Statistical Programming with R.

Statistical computing is an essential part of analysis. Statisticians need not only be able to run existing computer software but understand how that software functions. Students will learn fundamental concepts – Data Management, Data types, Data cleaning and manipulation, databases, graphics, functions, loops, simulation and Markov Chain Monte Carlo through working with various statistical analysis. Students will learn to write code in an organized fashion with comments. This course will be taught using both R and Julia languages in a flipped format.
Non-Biostatistics graduate students who have taken PHP 2510 (or an equivalent course) can request instructor permission to enroll.

Fall PHP2560 S01 17121 TTh 9:00-10:20(05) (A. Paul)
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PHP 2561. Methods in Informatics and Data Science for Health.

The goal of this course is for students to develop a solution that uses data science and informatics approaches to address a biomedical or health challenge. This course will teach informatics and data science skills needed for public health and biomedicine research. Emphasis will be given to algorithms used within the context of biomedical research and health care, including those used in biomolecular sequence analysis, electronic health records, clinical decision support, and public health surveillance. This course has been developed as a Course-based Undergraduate Research Experience (CURE), where students will gain experience with the scientific method, its application, and presentation.

Spr PHP2561 S01 25704 M 3:00-5:30(13) (E. Chen)
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PHP 2580. Statistical Inference II.

This sequence of two courses provides a comprehensive introduction to the theory of modern inference. PHP 2580 covers such topics as non-parametric statistics, quasi-likelihood, resampling techniques, statistical learning, and methods for high-dimensional Bioinformatics data. Prerequisite: PHP 2520. Open to advanced undergraduates with permission from the instructor.

Spr PHP2580 S01 25706 MW 10:30-11:50(03) (C. Gatsonis)
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PHP 2601. Linear Models.

This course will focus on the theory and applications of linear models for continuous responses. Linear models deal with continuously distributed outcomes and assume that the outcomes are linear combinations of observed predictor variables and unknown parameters, to which independently distributed errors are added. Topics include matrix algebra, multivariate normal theory, estimation and inference for linear models, and model diagnostics. Prerequisites: APMA 1650 or 1660, or taking PHP 2520 concurrently.

Note: The course will cover fundamental and advanced topics in linear models, and concepts related to the generalized linear models will not be covered during the course.

Fall PHP2601 S01 17178 T 1:00-3:30(08) (R. DeVito)
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PHP 2602. Analysis of Lifetime Data.

Comprehensive overview of methods for inference from censored event time data, with emphasis on nonparametric and semiparametric approaches. Topics include nonparametric hazard estimation, semiparametric proportional hazards models, frailty models, multiple event processes, with application to biomedical and public health data. Computational approaches using statistical software are emphasized. Prerequisites: PHP 2510 and 2511, or equivalent. Open to advanced undergraduates with permission from the instructor.

Spr PHP2602 S01 26226 TTh 2:30-3:50(11) (J. Steingrimsson)
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PHP 2605. Generalized Linear Models.

This course will focus on the theory and application of generalized linear models (GLM), a unified statistical framework for regression analyses. Specifically, we will focus on using GLMs to model the categorical outcomes. The GLM for categorical outcomes include logistic regression, proportional odds model, and Poisson regression. Maximum likelihood estimation and inference will be introduced in the GLM context. The students are expected to have knowledge of probability and inference (at the level of APMA1650, APMA1660, or PHP2520), knowledge of matrix algebra (at the level of MATH0520), knowledge of regression analysis (at the level of PHP2511) and knowledge of R.

Spr PHP2605 S01 25708 MW 1:00-2:20(06) (A. Eloyan)
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PHP 2610. Causal Inference and Missing Data.

Systematic overview of modern statistical methods for handling incomplete data and for drawing causal inferences from "broken experiments" and observational studies. Topics include modeling approaches, propensity score adjustment, instrumental variables, inverse weighting methods and sensitivity analysis. Case studies used throughout to illustrate ideas and concepts. Prerequisite: MATH 1610 or PHP 2511 or PHP 2580.

Fall PHP2610 S01 17180 TTh 9:00-10:20(05) (A. Buchanan)
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PHP 2620. Statistical Methods in Bioinformatics, I.

Introduction to statistical concepts and methods used in selected areas of bioinformatics. Organized in three modules, covering statistical methodology for: (a) analysis of microarray data, with emphasis on application in gene expression experiments, (b) proteomics studies, (c) analysis of biological sequences. Brief review and succinct discussion of biological subject matter will be provided for each area. Available software will be introduced. Intro level statistics (PHP 2507/2508 or PHP 2510/2511) recommended. Other students should contact instructor. Intro to software R and Bioconductor tools provided in lab. Open to advanced undergraduates with permission from the instructor.

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PHP 2650. Statistical Learning and Big Data.

This course introduces modern statistical tools to analyze big data, including three interconnected components: computing tools, statistical machine learning, and scalable algorithms. It introduces the principal techniques: extract and organize data from complex sources, explore patterns, frame statistical problems, build computational algorithms, and disseminate reproducible research. Topics include web data extraction, database management, exploratory data analysis, dimension reduction, convex optimization algorithms, high-dimensional linear/nonlinear models, tree/ensemble methods, and predictive modeling. These techniques are illustrated using big data examples from many scientific disciplines. This course is open to graduate students and advanced undergraduate students pursuing degrees in science, technology, engineering, or mathematics. Students should have taken: either one course from: PHP 2510, PHP 2511, PHP 2550, APMA 2610; OR one course from: APMA 1690, APMA 1720, APMA 1930B, CSCI 0150, CSCI 0170; AND one course from: MATH 0520, MATH 0540. Students may ask permissions from the instructor for waiving this requirement. Students are also required to have some experience with any scripting language.

Spr PHP2650 S01 25710 TTh 10:30-11:50(09) (A. Paul)
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PHP 2690A. Advanced Topics in Biostatistics.

Introduction to applications of statistics and the way statisticians collaborate in interdisciplinary research. Guest lecturers from industry, government and academia will describe how statisticians fit into their environment. Techniques for effective collaboration and oral and written presentation of work including interviewing, writing proposals, giving talks, working with a team and consulting as an individual will be taught. Designed for graduate students (Masters or PhD) who would like to learn how to collaborate on projects with non-statisticians. Permission of the instructor is required to enroll for the course.

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PHP 2690H. Design of Experiments.

Introduces the basic concepts and types of experimental designs with a focus on their statistical properties. Concepts covered include randomization, replication, blocking, matching, nesting, control of variation, interaction, random and fixed factors, choice of controls, estimation of precision and sample sizes. Types of designs include classical designs such factorial, fractional factorial, split plot, randomized blocks, incomplete blocks, crossover, repeated measures, Latin squares and central composite as well as more recent designs such as platform, adaptive, N-of-1, stepped wedge and dose finding will be covered. Concepts will be developed through examples, emphasizing proper analysis of each design. The class will use a hybrid approach with in-class instruction mixed with in class workshops and student presentations. Students are encouraged to use their own experimental data for a final project. Pre-Requisite: Solid background in statistical inference, regression analysis and statistical programming, preferably R. Familiarity with calculus and matrix algebra assumed.

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PHP 2710. Interdisciplinary Perspectives on Disability and Death in the Global South.

The course fosters interdisciplinary critical and integrative thinking and writing about the leading causes of disease, disability and death in low and middle income countries, and potential solutions to prevent and ameliorate these burdens of disease. The first part focuses on measures of population health, health disparities, multi-causal and multi-level thinking, social epidemiology, community interventions and implementation research. These topics provide the fundamental intellectual frameworks for global public health. The second part presents scholars from key disciplinary areas contributing to global health research and practice from many academic units at Brown University. To conclude students present their potential research ideas.

Fall PHP2710 S01 17182 M 1:00-3:30(06) (C. Kuo)
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PHP 2720. Implementing Public Health Programs and Interventions in the Global South.

This course will focus on the theory and methods related to increasing the impact of evidence-based public health interventions and the effectiveness of healthcare delivery in diverse resource-limited settings across the globe. This course will focus on the influence of social, structural, political, and organizational processes on the development, adaptation, implementation, and evaluation of public health interventions in the Global South. We will review the emerging field of implementation science and critically analyze approaches for the evaluation of ongoing global public health programs.

Fall PHP2720 S01 17183 F 9:00-11:30(09) (N. Bulled)
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PHP 2730. Including the Excluded: Global Health Ethics.

This course explores the ethics of global public health engagement. Global health implementation is fraught with ethical conundrums. These ethical conundrums include the process of generating rigorous evidence, championing health as a human right, engaging global partners in meaningful collaborations, and implementing complex programs in low-resource settings. These ethical challenges are driven by North-South inequities and by differences in socioeconomic backgrounds, culture, language, and other intersectional identities. This course introduces scholars to global health ethics as a framework for tackling health disparities, grappling in a scholarly and practical way with the complex fabric of global health research, policy, and practice.

Spr PHP2730 S01 25711 T 10:00-12:30(09) (C. Kuo)
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PHP 2740. Learning Global Health by Doing Global Health: Global Health Thesis Seminar.

This course prepares students for constructive engagement in cross-cultural research. The course aims to familiarize students with global funding priorities and research approaches, and to ask questions about meaningful cross-cultural engagement. Part I (Weeks 1-5) covers global health research priorities and writing a small grant proposal. Part II (Weeks 6-12) focuses on acquiring skills and knowledge to plan and implement a global health project, including strategies for community and stakeholder engagement, the challenges and opportunities of cross-cultural research, and tools for project implementation. This course is a research fieldwork preparation seminar intended to prepare students for global field-based research.

Spr PHP2740 S01 25712 M 2:30-5:00(13) (A. Harrison)
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PHP 2760. Critical Perspectives in Global Health.

An overview of social theory and analytical approaches relevant to the study of global health topics and their social context. Students learn writing skills and analytical tools and methods for in-depth analyses of global health topics, including social science critiques of global health policy and practice. The goal is for students to learn the skills to conduct critical social analysis of global health issues using qualitative or quantitative data, or mixed methods approaches, on topics ranging from patterns of disease prevalence, to health systems functioning, to community-level project implementation and evaluation. Suitable for students writing theses or papers for publication.

Fall PHP2760 S01 17184 W 9:00-11:30(09) (A. Harrison)
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PHP 2950. Doctoral Seminar in Public Health.

The purpose of this seminar is to facilitate discussions of current scientific literature in epidemiology, biostatistics, health services, behavioral and health sciences, and public health in general. The main goal is to expose students to current methodological issues and controversies, in an effort to integrate knowledge across disciplines. This seminar is only open to doctoral students in Epidemiology, Behavioral and Social Health Sciences, Biostatistics and Health Services Research.

Fall PHP2950 S01 17186 M 4:00-4:50(11) (J. Hogan)
Fall PHP2950 S02 17187 F 1:00-1:50(11) (A. Dulin)
Fall PHP2950 S03 17188 T 12:00-12:50(11) (F. Beaudoin)
Fall PHP2950 S04 17189 M 12:00-12:50(11) (O. Galarraga)
Spr PHP2950 S01 25714 T 12:00-12:50(02) (F. Beaudoin)
Spr PHP2950 S02 25715 M 12:00-12:50(05) (T. Shireman)
Spr PHP2950 S03 25716 F 1:00-1:50(06) (A. Dulin)
Spr PHP2950 S04 25717 M 4:00-4:50(13) (J. Hogan)
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PHP 2980. Graduate Independent Study and Thesis Research.

Section numbers vary by instructor. Please check Banner for the correct section number and CRN to use when registering for this course.

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PHP 2981. Graduate Independent Study and Thesis Research (half-credit).

Half-credit independent study research course consisting of 90 credit hours of supervised independent work. Intended for master’s students. Section numbers vary by instructor. Please check Banner for the correct section number and CRN to use when registering for this course.

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PHP 2985. MPH Independent Study for Thesis Preparation and Research.

This optional half credit course may be taken up to two times during preparation for the MPH degree. It provides MPH students with self-directed thesis research and preparation time under the guidance of a thesis advisor. Prior to taking this course the student and advisor must reach agreement as to what constitutes satisfactory completion of the course (e.g., completion of a satisfactory literature review, attainment of specific thesis benchmarks, or completion of the thesis). Please check Banner for the correct section number and CRN to use when registering for this course.

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PHP 2988. SPH Doctoral Teaching Experience (TE).

The Teaching Experience (TE) independent study is designed to enable graduate students to expand practical teaching skills as course coordinators/instructors under the mentorship of an experienced instructor. While the TE is a primarily a learning opportunity for doctoral students, secondarily, the activities associated with the TE should add value to the class by enhancing the experience of students enrolled in the course and assisting the faculty instructor with administration and delivery of the course. TEs are generally arranged according to student interests and goals and then approved by the student’s Graduate Program Director. Once approved, a student will register for the independent study section with the instructor teaching the TE-associated course. Students should consult their Graduate Program Handbook for more information.

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PHP 2990. Thesis Preparation.

For graduate students who have met the residency requirement and are continuing research on a full time basis.

Fall PHP2990 S01 15747 Arranged 'To Be Arranged'
Spr PHP2990 S01 24620 Arranged 'To Be Arranged'
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PHP XLIST. Courses of Interest to Concentrators in Community Health.

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HCL 2000. Strategic Planning and Value Creation in Integrated Healthcare.

In this course, participants explore the meaning of value creation in healthcare organizations—how it relates to high performance, how it varies and is measured in different healthcare segments, and how it is embodied in the structure and performance of their own organizations. A holistic High Performance Model of enterprise value creation is presented, including strategic planning, process improvement, and resource and organizational alignment. The model is discussed from the perspectives of a variety of healthcare organizations—with the goal of applying the model to create value for the participants’ own organizations.

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HCL 2010. Healthcare Policy: Yesterday, Today, and Tomorrow.

In this course, students appraise past and current political, legal, technological, and economic U.S. healthcare policy developments. Students critically examine the implementation of alternative methods of health services delivery and financing within multiple global healthcare systems. Participants question assumptions, think creatively, and consider integrated patient care solutions to prepare for change and new paradigms within the global healthcare sector.

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HCL 2020. Leadership and Marketing Skills for Healthcare Transformation.

In this course, students develop the management, marketing, and leadership skills needed to guide organizational change and refine their personal leadership style to lead in today’s rapidly-changing health care landscape. Particular focus is placed on negotiation, conflict management, collaboration, and team building skills. Participants create a robust plan for their continuous development as a leader. Students also learn how to harness the power of social media to develop their brand and their organization’s influence in the marketplace.

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HCL 2030. Data-Driven Decision Making: The Structure, Conduct, Review, and Evaluation of Research.

This course will provide an overview of the methods and applications of therapy economics, biostatistics and epidemiology in healthcare sector decision-making. Specific topics include: the application of therapy economics and economic evaluation to treatments, pharmacoeconomics and technology assessment; the assessment and interpretation of published epidemiological studies: institutional oversight of epidemiological research programs; the four key steps of statistical analysis (identification of scientific programs or problems of interest, collection of the required data, analysis and summary of data, and generation of a conclusion).

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HCL 2040. Navigating the Regulatory Maze.

This course explores the culture of decision making as well as the structure and role of key US and international regulatory bodies. Students explore how health care is regulated with an eye towards understanding how existing regulations improve quality, enhance access, and control cost. The topics of risk management, public health, and product/drug regulation are emphasized.

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HCL 2050. Info-Powr Patient Care: Electr. Health Records, Healthcare Info Techn. + Medical Information Systems.

This course will provide an overview of the major aspects of information technology (IT) as they relate to both the causes of and the solutions to current problems in healthcare. Issues of standardization, integration, communication and patient engagement will be stressed, and the types of strategic planning for and governance of information systems will be explored. During the course students will be presented with real problems in the field of HIT and explore possible solutions.

Spr HCL2050 S01 26398 Arranged (M. Schneider)
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HCL 2060. Quality Improvement and the Healthcare Learning Organization.

In this course, students explore the quality improvement drivers, principles, systems, and tools that help create a healthcare learning organization. Students discover how quality improvement creates value, how to demonstrate the value of quality improvement to their colleagues, and how to ultimately develop a culture of learning within their organization. Students compare the learning needs of healthcare organizations to those in other industries. Students design and implement a quality improvement project within their own organization, and develop a "learning organization roadmap" for their organization.

Fall HCL2060 S01 18041 Arranged (R. Peto)
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HCL 2070. Financial Decisions in the Changing Healthcare Landscape.

This course focuses on the area of financial management as applied to international health organizations. The course emphasizes the application of principles and concepts of international health financial management to global health providers that represent innovative new structures and organizations, such as Accountable Care Organizations (ACOs) that offer integrated patient care. Students will gain competencies in the application of financial analysis tools and techniques internationally and in the interpretation of data for sound decision-making through case assignments and a class project to analyze the financial results of high performing healthcare organizations serving global markets.

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HCL 2080. The Critical Challenge: Capstone Project.

In this project, supervised by Executive Master of Healthcare Leadership (HCL) faculty, students identify a critical challenge within healthcare and then work collaboratively to integrate knowledge from various perspectives and healthcare sectors and to apply relevant skills to develop possible solutions to their challenge. Students draw upon knowledge and skills from coursework with particular emphasis on collaborating across healthcare sectors, considering ethical implications, communicating effectively and developing creative and viable solutions.
Upon completion of this project, students will be able to successfully integrate knowledge of healthcare policy, strategic planning, regulation, management, marketing, healthcare research, quality improvement, finance and information technology to address a critical challenge within healthcare. Project outcomes should prove applicable to professional practice. This course spans two semesters.

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HCL 2090. Leadership and Professional Development.

The new leadership and professional development course supports 12 of our HCL leadership competencies. As a result of participating in this class, students will expand their knowledge of leadership theories, in particular adaptive leadership theory, strengthen the interpersonal skills associated with the effective use of authority and leadership and increase their awareness of their impact on others. They will be consistently challenged to apply this knowledge and skills to their work environment.

Spr HCL2090 S01 26399 Arranged (R. Rose)
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HCL 2100. Health Law.

Explore current topics in health law with a focus on legal relationships among patients, providers, payers and institutions. Students will examine how the law regulates these relationships through professional regulation, informed consent, malpractice litigation and newer models of healthcare system accountability; by preventing fraud and abuse in payment for health care services, devices and pharmaceuticals; by reigning in anti-competitive practices in health care consolidation through antitrust law. In addition to exploring the role of law in regulating the health care system, students will consider broader legal and ethical issues in health and health care: access to care, discrimination and unequal treatment; bioethical issues such as the right to die, human reproduction, medical decision-making; how public health laws are evolving to address the realities of health in the U.S. and the global society: rising chronic disease, lower life-expectancy and pandemics like COVID-19.

Fall HCL2100 S01 18386 Arranged (L. Tobin-Tyler)
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HCL 2110. Epidemiology and Biostatistics for Healthcare.

This course will introduce the principles and methods of epidemiologic investigations and biostatistics as they apply to the healthcare context. We will illustrate the methods by which studies of the distribution and transmission of diseases in populations (including disease outbreaks and epidemics) can contribute to an understanding of etiologic factors and can help inform treatments. We will introduce various study designs, including randomized trials, cohort studies, and case-control studies. We will also introduce the building blocks of evidence-based medicine, i.e., systematic reviews and meta-analyses. Quantitative and analytic methods covered during the course include measures of morbidity and mortality, statistical concepts, and measures of diagnostic test accuracy and treatment effectiveness.

Fall HCL2110 S01 18387 Arranged (I. Saldanha)
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HCL 2120. Health Economics: Jargon, Theory, and Analytical Methods.

This course provides a basic foundation in health economics: concepts, topics, cases and exercises are intended for healthcare leaders delivering, managing, regulating, and paying for care and healthcare products. This course provides a high-level overview and working knowledge of economic principles and methods applied in the healthcare sector. Applications to real health care delivery and financing issues are emphasized, with students gaining experience analyzing decisions related to choices underlying efficient and equitable production, allocation, and consumption of health care resources. Upon completion of this course, students possess a technical understanding of the theory, principles and methods of health economics as well as the ability to understand, interpret, critically review, and determine the economic repercussions of alternative health policies. Finally, students will be prepared to undertake economic evaluations of health-related projects, given real world constraints of time, data, and budget.

Spr HCL2120 S01 26447 Arranged (J. Bentkover)

Dean

Ashish Kumar Jha

Department Chair - Behavioral and Social Sciences

Christopher W. Kahler

Department Chair - Biostatistics

Joseph W. Hogan

Interim Department Chair - Epidemiology

Francesca L. Beaudoin

Department Chair - Health Services, Policy & Practice

Ira B. Wilson

Professor

Jasjit Singh Ahluwalia
Professor of Behavioral and Social Sciences; Professor of Medicine

Susan Masterson Allen
Professor Emerita of Health Services, Policy and Practice

Nancy P. Barnett
Professor of Behavioral and Social Sciences; Professor of Psychiatry and Human Behavior

Richard W. Besdine
Professor of Medicine; Professor of Health Services, Policy and Practice

Beth C. Bock
Professor of Psychiatry and Human Behavior; Professor of Behavioral and Social Sciences

Stephen L. Buka
Professor of Epidemiology

Kate B. Carey
Professor of Behavioral and Social Sciences

Michael Carey
Professor of Psychiatry and Human Behavior; Professor of Behavioral and Social Sciences

Melissa A. Clark
Professor of Health Services, Policy and Practice; Professor of Obstetrics and Gynecology

Suzanne M. Colby
Professor of Psychiatry and Human Behavior; Professor of Behavioral and Social Sciences

Susan Cu-Uvin
Professor of Obstetrics and Gynecology; Professor of Health Services, Policy and Practice; Professor of Medicine

Gildasio S. De Oliveira
Professor of Anesthesiology; Professor of Health Services, Policy and Practice

Charles B. Eaton
Professor of Family Medicine; Professor of Epidemiology

Alison E. Field
Professor of Epidemiology

Timothy P. Flanigan
Professor of Medicine; Professor of Health Services, Policy and Practice

Jennifer F. Friedman
Professor of Pediatrics; Professor of Epidemiology

Constantine A. Gatsonis
Henry Ledyard Goddard University Professor of Statistical Sciences

Brandon A. Gaudiano
Professor of Psychiatry and Human Behavior; Professor of Behavioral and Social Sciences

Kate M. Guthrie
Professor of Psychiatry and Human Behavior; Professor of Behavioral and Social Sciences

Joseph W. Hogan
Carole and Lawrence Sirovich Professor of Public Health, Professor of Biostatistics

Ashish Kumar Jha
Professor of Health Services, Policy and Practice

Christopher W. Kahler
Professor of Behavioral and Social Sciences; Professor of Psychiatry and Human Behavior

Karl T. Kelsey
Professor of Epidemiology; Professor of Pathology and Laboratory Medicine

Joseph Lau
Professor Emeritus of Health Services, Policy and Practice

David C. Lewis
Professor Emeritus of Behavioral and Social Sciences

Simin Liu
Professor of Epidemiology; Professor of Medicine; Professor of Surgery

Bess H. Marcus
Professor of Behavioral and Social Sciences

Stephen T. McGarvey
Professor of Epidemiology

Michael J. Mello
Professor of Emergency Medicine; Professor of Health Services, Policy and Practice; Professor of Medical Science

Susan C. Miller
Professor Emerita of Health Services, Policy and Practice

Robert Miranda
Professor of Psychiatry and Human Behavior; Professor of Behavioral and Social Sciences

Lois A. Monteiro
Professor Emerita of Behavioral and Social Sciences

Peter M. Monti
Donald G. Millar Distinguished Professor of Alcohol and Addiction Studies, Professor of Behavioral and Social Sciences

Vincent Mor
Florence Pirce Grant University Professor, Professor of Health Services, Policy and Practice

Amy S. Nunn
Professor of Behavioral and Social Sciences; Professor of Medicine

Thomas P. O'Toole
Professor of Medicine; Professor of Health Services, Policy and Practice

Don Operario
Professor of Behavioral and Social Sciences

Brett Douglas Owens
Professor of Orthopaedics; Professor of Epidemiology

Abrar Qureshi
Warren Alpert Foundation Professor of Dermatology, Professor of Epidemiology

William Rakowski
Professor Emeritus of Behavioral and Social Sciences

Linda J. Resnik
Professor of Health Services, Policy and Practice

Josiah D. Rich
Professor of Medicine; Professor of Epidemiology

Dwight J. Rouse
Professor of Obstetrics and Gynecology; Professor of Epidemiology

James L. Rudolph
Professor of Medicine; Professor of Health Services, Policy and Practice

David A. Savitz
Professor of Epidemiology; Professor of Obstetrics and Gynecology; Professor of Pediatrics

Christopher H. Schmid
Professor of Biostatistics

Jeremiah Schuur
Frances Weeden Gibson-Edward A. Iannuccilli, MD Professor of Emergency Medicine, Professor of Health Services, Policy and Practice

Theresa I. Shireman
Professor of Health Services, Policy and Practice

Dale W. Steele
Professor of Emergency Medicine; Professor of Health Services, Policy and Practice; Professor of Pediatrics

Laura Stroud
Professor of Psychiatry and Human Behavior; Professor of Behavioral and Social Sciences; Professor of Obstetrics and Gynecology

Robert M. Swift
Professor of Psychiatry and Human Behavior; Professor of Behavioral and Social Sciences

Jennifer Tidey
Professor of Behavioral and Social Sciences; Professor of Psychiatry and Human Behavior

Thomas Trikalinos
Professor of Health Services, Policy and Practice

Amal N. Trivedi
Professor of Health Services, Policy and Practice; Professor of Medicine

Patrick M. Vivier
Professor of Health Services, Policy and Practice; Professor of Emergency Medicine; Professor of Pediatrics

Martin A. Weinstock
Professor of Dermatology; Professor of Epidemiology

Terrie T. Wetle
Professor of Health Services, Policy and Practice

David M. Williams
Professor of Behavioral and Social Sciences; Associate Professor of Psychiatry and Human Behavior

Ira B. Wilson
Professor of Health Services, Policy and Practice

Wen-Chih Wu
Professor of Medicine; Professor of Epidemiology

Zhijin J. Wu
Professor of Biostatistics

Tongzhang Zheng
Professor of Epidemiology

Sally Zierler
Professor Emerita of Epidemiology

Professor Research

Pedro Luis Gozalo
Professor of Health Services, Policy and Practice (Research)

Kristina M. Jackson
Professor of Behavioral and Social Sciences (Research)

George D. Papandonatos
Professor of Biostatistics (Research)

Damaris Jane Rohsenow
Professor of Behavioral and Social Sciences (Research)

Clinical Professor

Scott David Berns
Clinical Professor of Pediatrics; Clinical Professor of Health Services, Policy and Practice

Donald B. Giddon
Clinical Professor Emeritus of Behavioral and Social Sciences

Therese Zink
Clinical Professor of Family Medicine; Clinical Professor of Behavioral and Social Sciences

Professor of the Practice

Judith D. Bentkover
Professor of the Practice of Health Services, Policy and Practice

Scott W. Goodspeed
Professor of the Practice of Health Services, Policy and Practice

Christopher F. Koller
Professor of the Practice of Health Services, Policy and Practice

Jennifer J. Nazareno
Barrett Hazeltine Assistant Professor of the Practice of Entrepreneurship

Margaret M. Van Bree
Professor of the Practice of Health Services, Policy and Practice

Associate Professor

Siraj Amanullah
Associate Professor of Emergency Medicine; Associate Professor of Health Services, Policy and Practice; Associate Professor of Pediatrics

Francesca L. Beaudoin
Associate Professor of Epidemiology; Associate Professor of Health Services, Policy and Practice; Associate Professor of Emergency Medicine (Research)

Sara J. Becker
Associate Professor of Behavioral and Social Sciences; Associate Professor of Psychiatry and Human Behavior

Katie Brooks Biello
Associate Professor of Behavioral and Social Sciences; Associate Professor of Epidemiology

Joseph M. Braun
Associate Professor of Epidemiology

Judson Brewer
Associate Professor of Behavioral and Social Sciences; Associate Professor of Psychiatry and Human Behavior

Willoughby B. Britton
Associate Professor of Psychiatry and Human Behavior; Associate Professor of Behavioral and Social Sciences

Philip A. Chan
Associate Professor of Medicine; Associate Professor of Behavioral and Social Sciences

Eunyoung Cho
Associate Professor of Dermatology; Associate Professor of Epidemiology

Patricia A. Cioe
Associate Professor of Behavioral and Social Sciences

Fenghai Duan
Associate Professor of Biostatistics

Akilah Dulin
Associate Professor of Behavioral and Social Sciences

Anashua Rani Ghose Elwy
Associate Professor of Psychiatry and Human Behavior; Associate Professor of Behavioral and Social Sciences

Gary P. Epstein-Lubow
Associate Professor of Psychiatry and Human Behavior; Associate Professor of Health Services, Policy and Practice; Associate Professor of Medical Science

Omar Galarraga
Associate Professor of Health Services, Policy and Practice

Annie Gjelsvik
Associate Professor of Epidemiology

Elizabeth M. Goldberg
Associate Professor of Emergency Medicine; Associate Professor of Health Services, Policy and Practice

Diana Grigsby
Associate Professor of Behavioral and Social Sciences; Associate Professor of Epidemiology

Roee Gutman
Associate Professor of Biostatistics

Carolina L. Haass-Koffler
Associate Professor of Psychiatry and Human Behavior; Assistant Professor of Behavioral and Social Sciences

Chanelle J. Howe
Associate Professor of Epidemiology

Michelle A. Lally
Associate Professor of Medicine; Associate Professor of Health Services, Policy and Practice

M. Barton Laws
Associate Professor of Health Services, Policy and Practice

Eric B. Loucks
Associate Professor of Epidemiology; Associate Professor of Behavioral and Social Sciences; Associate Professor of Medicine

Mark Lurie
Associate Professor of Epidemiology

Tracy E. Madsen
Associate Professor of Emergency Medicine; Associate Professor of Epidemiology

Brandon David Lewis Marshall
Associate Professor of Epidemiology

Rosemarie Ann Martin
Associate Professor of Behavioral and Social Sciences

Jennifer E. Merrill
Associate Professor of Behavioral and Social Sciences

Md Momotazur Rahman
Associate Professor of Health Services, Policy and Practice

Patricia M. Risica
Associate Professor of Behavioral and Social Sciences; Associate Professor of Epidemiology

Rochelle K. Rosen
Associate Professor of Behavioral and Social Sciences

Elena Salmoirago-Blotcher
Associate Professor of Medicine; Associate Professor of Epidemiology; Associate Professor of Psychiatry and Human Behavior

Prerna Singh
Mahatma Gandhi Associate Professor of Political Science and International and Public Affairs, Associate Professor of Behavioral and Social Sciences

Kali S. Thomas
Associate Professor of Health Services, Policy and Practice

Liz Tobin-Tyler
Associate Professor of Family Medicine; Associate Professor of Health Services, Policy and Practice

Corey E. Ventetuolo
Associate Professor of Medicine; Associate Professor of Health Services, Policy and Practice

Erika Werner
Associate Professor of Obstetrics and Gynecology; Associate Professor of Epidemiology

Clinical Associate Professor

John P. Fulton
Clinical Associate Professor of Behavioral and Social Sciences

David R. Gifford
Clinical Associate Professor of Medicine; Clinical Associate Professor of Health Services, Policy and Practice

Associate Professor Research

Rachel Cassidy
Associate Professor of Behavioral and Social Sciences (Research)

Lori Daiello
Associate Professor of Neurology (Research); Associate Professor of Health Services, Policy and Practice (Research)

Shira I. Dunsiger
Associate Professor of Behavioral and Social Sciences (Research); Associate Professor of Psychiatry and Human Behavior (Research)

Ilana F. Gareen
Associate Professor of Epidemiology (Research)

Abigail D. Harrison
Associate Professor of Behavioral and Social Sciences (Research)

Caroline C. Kuo
Associate Professor of Behavioral and Social Sciences (Research)

Molly Magill
Associate Professor of Behavioral and Social Sciences (Research)

Jane Metrik
Associate Professor of Behavioral and Social Sciences (Research); Associate Professor of Psychiatry and Human Behavior (Research)

Donna R. Parker
Associate Professor of Family Medicine (Research); Associate Professor of Epidemiology (Research)

Associate Professor of the Practice

Rosa R. Baier
Associate Professor of the Practice of Health Services, Policy and Practice

Stefanie Friedhoff
Associate Professor of the Practice of Health Services, Policy and Practice

Medeva Ghee
Associate Professor of the Practice of Behavioral and Social Sciences

Deborah N. Pearlman
Associate Professor of the Practice of Epidemiology

Assistant Professor

Madina Agénor
Assistant Professor of Behavioral and Social Sciences

Barbara Bardenheier
Assistant Professor of Health Services, Policy and Practice; Assistant Professor of Epidemiology

Emmanuelle Belanger
Assistant Professor of Health Services, Policy and Practice

Angela (Angie) Bengtson
Assistant Professor of Epidemiology

Michael Bernstein
Assistant Professor of Behavioral and Social Sciences; Assistant Professor of Diagnostic Imaging

Alyssa Bilinski
Peterson Family Assistant Professor of Health Policy, Assistant Professor of Health Services, Policy and Practice and Biostatistics

Lauren Connell Bohlen
Assistant Professor of Behavioral and Social Sciences

Stavroula Chrysanthopoulou
Assistant Professor of Biostatistics

Lorin A. Crawford
RGSS Assistant Professor of Biostatistics

Roberta DeVito
Assistant Professor of Biostatistics and Data Science

Ani Eloyan
Assistant Professor of Biostatistics

Emily Aurora Gadbois
Assistant Professor of Health Services, Policy and Practice

Rachel L. Gunn
Assistant Professor of Behavioral and Social Sciences

Sarah A. Helseth
Assistant Professor of Behavioral and Social Sciences

Jaclyn White Hughto
Assistant Professor of Behavioral and Social Sciences; Assistant Professor of Epidemiology

Nina Joyce
Assistant Professor of Epidemiology

Eric Jutkowitz
Assistant Professor of Health Services, Policy and Practice

Aditya Khanna
Assistant Professor of Behavioral and Social Sciences

Kristin J. Konnyu
Assistant Professor of Health Services, Policy and Practice

Cyrus M. Kosar
Assistant Professor of Health Services, Policy and Practice

Youjin Lee
Manning Assistant Professor of Biostatistics

Julie C. Lima
Assistant Professor of Health Services, Policy and Practice

Ellen M. McCreedy
Assistant Professor of Health Services, Policy and Practice

Matthew K. Meisel
Assistant Professor of Behavioral and Social Sciences

David J. Meyers
Assistant Professor of Health Services, Policy and Practice

Mollie A. Monnig
Assistant Professor of Behavioral and Social Sciences

Patience Moyo
Assistant Professor of Health Services, Policy and Practice

Cara M. Murphy
Assistant Professor of Behavioral and Social Sciences

Arman Oganisian
Assistant Professor of Biostatistics

Alice J. Paul
Assistant Professor of Biostatistics

Jennifer A. Pellowski
Assistant Professor of Behavioral and Social Sciences

Maricruz Rivera-Hernandez
Assistant Professor of Health Services, Policy and Practice

Robert Rosales
Assistant Professor of Behavioral and Social Sciences

Ian J. Saldanha
Assistant Professor of Health Services, Policy and Practice; Assistant Professor of Epidemiology

Kelli S. Scott
Assistant Professor of Behavioral and Social Sciences; Assistant Professor of Psychiatry and Human Behavior

Alexander W. Sokolovsky
Assistant Professor of Behavioral and Social Sciences

Jon A. Steingrimsson
Assistant Professor of Biostatistics

Shufang Sun
Assistant Professor of Behavioral and Social Sciences

Hayley Treloar Padovano
Assistant Professor of Psychiatry and Human Behavior; Assistant Professor of Behavioral and Social Sciences

Nisha Trivedi
Assistant Professor of Health Services, Policy and Practice

Tayla von Ash
Assistant Professor of Behavioral and Social Sciences

Erica D. Walker
Assistant Professor of Epidemiology

Tyler B. Wray
Edens Family Assistant Professor of Behavioral and Social Sciences

Tingting Zhang
Assistant Professor of Health Services, Policy and Practice

Andrew R. Zullo
Assistant Professor of Health Services, Policy and Practice; Assistant Professor of Epidemiology

Clinical Assistant Professor

Thomas D. Romeo
Clinical Assistant Professor Emeritus of Health Services, Policy and Practice

Assistant Professor Research

Elizabeth R. Aston
Assistant Professor of Behavioral and Social Sciences (Research)

Tanya J. Benitez
Assistant Professor of Behavioral and Social Sciences (Research)

Mark A. Celio
Assistant Professor of Behavioral and Social Sciences (Research)

Alicia Cohen
Assistant Professor of Family Medicine (Research); Assistant Professor of Health Services, Policy and Practice (Research)

Valery A. Danilack
Assistant Professor of Obstetrics and Gynecology (Research); Assistant Professor of Epidemiology (Research)

Erica Eaton
Assistant Professor of Psychiatry and Human Behavior (Research); Assistant Professor of Behavioral and Social Sciences (Research)

William C. Goedel
Assistant Professor of Epidemiology (Research)

Kimberly Goodyear Chavanne
Assistant Professor of Behavioral and Social Sciences (Research); Assistant Professor of Psychiatry and Human Behavior (Research)

Tim Janssen
Assistant Professor of Behavioral and Social Sciences (Research)

Nan Li
Assistant Professor of Epidemiology (Research)

Lauren G. Micalizzi
Assistant Professor of Behavioral and Social Sciences (Research)

Orestis Panagiotou
Assistant Professor of Health Services, Policy and Practice (Research)

Ju Park
Assistant Professor of Medicine (Research); Assistant Professor (Research)

Jeffrey Proulx
Assistant Professor of Behavioral and Social Sciences (Research); Assistant Professor of Psychiatry and Human Behavior (Research)

Michelle L. Rogers
Assistant Professor of Behavioral and Social Sciences (Research)

Tara L. White
Assistant Professor of Behavioral and Social Sciences (Research)

Assistant Professor of the Practice

Bradley W. Brockmann
Assistant Professor of the Practice of Health Services, Policy and Practice

Colleen M. Caron
Assistant Professor of the Practice of Epidemiology

Dora M. Dumont
Assistant Professor of the Practice of Epidemiology

Jill S. Harrison
Assistant Professor of the Practice of Health Services, Policy and Practice

Patricia Holland
Assistant Professor of the Practice of Behavioral and Social Sciences

William H. Hollinshead
Assistant Professor of the Practice of Epidemiology

Lynn Koerbel
Assistant Professor of the Practice of Behavioral and Social Sciences

Florence Meleo-Meyer
Assistant Professor of the Practice of Behavioral and Social Sciences

Karine P. Monteiro
Assistant Professor of the Practice of Epidemiology

Robert Stahl
Assistant Professor of the Practice of Behavioral and Social Sciences

Ellen R. Tohn
Assistant Professor of the Practice of Epidemiology

Jesse L. Yedinak
Assistant Professor of the Practice of Epidemiology

Instructor

Terrence Vance
Instructor in Dermatology; Instructor in Epidemiology

Clinical Instructor

Robert A. Smith
Clinical Instructor Emeritus in Health Services, Policy and Practice

Investigator

Elliott A. Bosco
Investigator in Health Services, Policy and Practice

Alexandra B. Collins
Investigator in Epidemiology

Matthew Duprey
Investigator in Health Services, Policy and Practice

Cassandra Hua
Investigator in Health Services, Policy and Practice

Brendan Jacka
Investigator in Epidemiology

Augustine Kang
Investigator in Behavioral and Social Sciences

Adjunct Professor

Annlouise R. Assaf
Adjunct Professor of Health Services, Policy and Practice

Bruce M. Becker
Adjunct Professor of Behavioral and Social Sciences

Belinda Borrelli
Adjunct Professor of Behavioral and Social Sciences

Brian E. Borsari
Adjunct Professor of Behavioral and Social Sciences

Joseph S. Coyne
Adjunct Professor of Health Services, Policy and Practice

Kim M. Gans
Adjunct Professor of Behavioral and Social Sciences

Susan M. Kiene
Adjunct Professor of Behavioral and Social Sciences

Lorenzo Leggio
Adjunct Professor of Behavioral and Social Sciences

Jie Li
Adjunct Professor of Epidemiology

James Mackillop
Adjunct Professor of Behavioral and Social Sciences

Carmen J. Marsit
Adjunct Professor of Epidemiology

Kenneth Hugh Mayer
Adjunct Professor of Medicine; Adjunct Professor of Epidemiology

Roland C. Merchant
Adjunct Professor of Emergency Medicine; Adjunct Professor of Epidemiology

Dominique S. Michaud
Adjunct Professor of Epidemiology

Edward A. Miller
Adjunct Professor of Health Services, Policy and Practice

Lori Scott-Sheldon
Adjunct Professor of Psychiatry and Human Behavior; Professor of Behavioral and Social Sciences

Xiaoming Shi
Adjunct Professor of Epidemiology

Lynda Stein
Adjunct Professor of Behavioral and Social Sciences

Joan M. Teno
Adjunct Professor of Health Services, Policy and Practice

Adjunct Associate Professor

Christopher J. Colvin
Adjunct Associate Professor of Epidemiology

Issa J. Dahabreh
Adjunct Associate Professor of Epidemiology

Catherine E. Dube
Adjunct Associate Professor of Behavioral and Social Sciences

Karen Friend
Adjunct Associate Professor of Behavioral and Social Sciences

Traci C. Green
Adjunct Associate Professor of Emergency Medicine; Adjunct Associate Professor of Epidemiology

Nicola Hawley
Adjunct Associate Professor of Epidemiology

Lynn Hernandez
Adjunct Associate Professor of Behavioral and Social Sciences

Jon M. Kingsdale
Adjunct Associate Professor of Health Services, Policy and Practice

Xi Luo
Adjunct Associate Professor of Biostatistics

Nadine R. Mastroleo
Adjunct Associate Professor of Behavioral and Social Sciences

Ethan H. Mereish
Adjunct Associate Professor of Behavioral and Social Sciences

Take Naseri
Adjunct Associate Professor of Epidemiology

Patricia A. Nolan
Adjunct Associate Professor of Health Services, Policy and Practice

Cynthia Rosengard
Adjunct Associate Professor of Behavioral and Social Sciences

Samantha R. Rosenthal
Adjunct Associate Professor of Epidemiology

Edmond D. Shenassa
Adjunct Associate Professor of Epidemiology

Jayson Spas
Adjunct Associate Professor of Behavioral and Social Sciences

Alison Tovar
Adjunct Associate Professor of Behavioral and Social Sciences

Wendy White
Adjunct Associate Professor of Health Services, Policy and Practice

Adjunct Assistant Professor

James H. Austin
Adjunct Assistant Professor of Health Services, Policy and Practice

Jordan M. Braciszewski
Adjunct Assistant Professor of Behavioral and Social Sciences

Nicola Bulled
Adjunct Assistant Professor of Behavioral and Social Sciences

Laurence P. Chait
Adjunct Assistant Professor of Health Services, Policy and Practice

Kei Hang Katie Chan
Adjunct Assistant Professor of Epidemiology

Angelo M. DiBello
Adjunct Assistant Professor of Behavioral and Social Sciences

Kristi E. Gamarel
Adjunct Assistant Professor of Behavioral and Social Sciences

Rowan Iskandar
Adjunct Assistant Professor of Health Services, Policy and Practice

Elizabeth Wambui Kimani-Murage
Adjunct Assistant Professor of Epidemiology

William V. Lechner
Adjunct Assistant Professor of Behavioral and Social Sciences

Natalie Helene Leon
Adjunct Assistant Professor of Epidemiology

Erlyn Rachelle K. Macarayan
Adjunct Assistant Professor of Health Services, Policy and Practice

Mary Elizabeth Miller
Adjunct Assistant Professor of Behavioral and Social Sciences

Chima D. Ndumele
Adjunct Assistant Professor of Health Services, Policy and Practice

Angela D. Paradis
Adjunct Assistant Professor of Epidemiology

John S. Park
Adjunct Assistant Professor of Health Services, Policy and Practice

Randolph R. Peto
Adjunct Assistant Professor of Health Services, Policy and Practice

Catherine T. Schmidt
Adjunct Assistant Professor of Health Services, Policy and Practice

Mark K. Schneider
Adjunct Assistant Professor of Health Services, Policy and Practice

Clara G. Sears
Adjunct Assistant Professor of Epidemiology

Nichea S. Spillane
Adjunct Assistant Professor of Behavioral and Social Sciences

Alvaro M. Tinajero
Adjunct Assistant Professor of Epidemiology

Zheng Zhang
Adjunct Assistant Professor of Biostatistics

Visiting Scholar

Edith Bonnin
Visiting Scholar in Behavioral and Social Sciences

Hilton Yu Lam
Visiting Scholar in Behavioral and Social Sciences

Research Associate

Joseph Fava
Research Associate in Behavioral and Social Sciences

Irene Glasser
Research Associate in Behavioral and Social Sciences

Arryn Aleia Guy
Research Associate in Behavioral and Social Sciences

Stacey Springs
Research Associate in Health Services, Policy and Practice

Teaching Associate

Daniela N. Quilliam
Teaching Associate in Epidemiology

Assistant Professor, Clinician Educator

Matthew Murphy
Assistant Professor of Medicine, Clinician Educator; Assistant Professor of Behavioral and Social Sciences

Jack C. Rusley
Assistant Professor of Pediatrics, Clinician Educator; Clinical Assistant Professor of Health Services, Policy and Practice

Public Health

Public Health is an interdisciplinary concentration through which students examine a variety of health issues, including population health and disease, health policy, cross-cultural and international aspects of health, the organizational and social structures through which health services are delivered and received, and the public health system. Courses in the concentration allow students to explore the ways in which the social, political, behavioral and biological sciences contribute to the understanding of patterns of population distributions of health and disease. The concentration also provides students with courses in basic research methods and statistics necessary for problem solving and critical thinking in the emerging emphasis on evidence-based health care and public health.

Requirements for Class of  2023 and Beyond

1. Core Courses (non-substitutable; 5 required for all students)5
Health Care in the United States
Introduction to Public Health
Fundamentals of Epidemiology
Essentials of Data Analysis
Public Health Senior Seminar
2. Environmental Health and Policy (select one of the following):1
PHP 0720
Public Health and the Environment
World of Food: Personal to Global Perspectives on Nutrition, Agriculture and Policy
Current Topics in Environmental Health
3. Health, Health Care Systems, and Policy (select one of the following):1
Public Health Policy
From Manufacturer to Patient: Why is the Cost of Prescription Drugs So Darn High?
Comparative Health Care Systems
Introduction To Public Health Economics
4. Social and Behavioral Science for Prevention (select one of the following):1
Intro. to Health Disparities & Making Connection btw Structure, Social Determinants&Health Equity
PHP 0700
Global Public Health Interventions
World of Food: Personal to Global Perspectives on Nutrition, Agriculture and Policy
PHP 1300
Parenting Behaviors and Child Health
Alcohol Use and Misuse
Obesity in the 21st Century: Causes, Consequences and Countermeasures
Tobacco, Disease and the Industry: cigs, e-cigs and more
Race, Racism and Health
Intersectionality and Health Inequities
Technology and Health Behavior Change
Social Determinants of Health
5. Global Health Elective (select one of the following):1
PHP 0700
Global Public Health Interventions
PHP 0720
Public Health and the Environment
Global Burden of Disease
Human Security and Humanitarian Response: Increasing Effectiveness and Accountability
6. Health Disparities Elective (select one of the following):1
Intro. to Health Disparities & Making Connection btw Structure, Social Determinants&Health Equity
Race, Racism and Health
Pathology to Power: Disability, Health and Community
Intersectionality and Health Inequities
Designing Education for Better Prisoner and Community Health
Social Determinants of Health
7. Biology (select one of the following):1
Principles of Nutrition
The Foundation of Living Systems
Genetics
Introductory Microbiology
Principles of Immunology
Principles of Physiology
Diet and Chronic Disease
8. Humanities/Fine Arts/Humanistic Social Sciences for Public Health (select one of the following):1
African American Health Activism from Emancipation to AIDS
Policy, Culture and Discourse that Shape Health and Access to Healthcare
Race, Sexuality, and Mental Disability History (HMAN 1973A)
The Anti-Trafficking Savior Complex: Saints, Sinners, and Modern-Day Slavery
Health and Healing in American History (STS 1110, GNSS 1960B)
The Psychology and Philosophy of Happiness (PHIL 0650)
Women’s Writing in the Arab World
Literature and Medicine
Music and Meditation
Introduction to Contemplative Studies
Writing Science
Writing Diversity: A Workshop
Treaty Rights and Food Fights: Eating Local in Indian Country
Reproductive Health: Science, Politics, and the Media
Introduction to Gender and Sexuality Studies
Spanish for Health Care Workers
Health, Illness and Medicine in Spanish and Spanish American Literature and Film
Foods and Drugs in History
From the Columbian Exchange to Climate Change: Modern Global Environmental History
History of Medicine I: Medical Traditions in the Old World Before 1700
History of Medicine II: The Development of Scientific Medicine in Europe and the World
Tropical Delights: Imagining Brazil in History and Culture
Humanitarianism and Conflict in Africa
From Medieval Bedlam to Prozac Nation: Intimate Histories of Psychiatry and Self
Medicine and Public Health in Africa
Gender, Race, and Medicine in the Americas
Planning the Family: Gender, Reproduction, and the Politics of Choice.
Health of Hispaniola
Poetry for Healing Territories
Modern Science and Human Values
Food and Philosophy
Global Justice
Arts and Health: Theory
Arts and Health: Practice
Total Credits12

Requirements for Classes of 2021 and 2022

1. Core Courses: (non-substitutable; 4 required for honors, 5 for non-honors)
PHP 0310Health Care in the United States1
This course is best taken as a freshman or sophomore.
PHP 0320Introduction to Public Health1
This course is a prerequisite to the Fundamentals of Epidemiology (PHP 0850) and is best taken as a freshman or sophomore.
PHP 0850Fundamentals of Epidemiology1
This course is best taken by end of junior year before PHP 1910, Senior Seminar.
PHP 1501Essentials of Data Analysis1
This course is best taken by end of junior year before PHP 1910, Senior Seminar.
PHP 1910Public Health Senior Seminar1
This course is required for all non-honors seniors. PHP 0320 and PHP 0310 are required prerequisites.
2. Environmental Health and Policy (Select one of the following):1
World of Food: Personal to Global Perspectives on Nutrition, Agriculture and Policy
Current Topics in Environmental Health
Climate Change and Human Health
Community Engagement with Health and the Environment
Environmental Health and Disease
Equity and the Environment: Movements, Scholarship, Solutions
Environmental Stewardship and Resilience in Urban Systems
3. Health, Health Care Systems and Policy (Select one of the following):1
From Manufacturer to Patient: Why is the Cost of Prescription Drugs So Darn High?
Global Burden of Disease
Comparative Health Care Systems
Human Security and Humanitarian Response: Increasing Effectiveness and Accountability
Designing Education for Better Prisoner and Community Health
Health Economics
Health Policy Challenges
4. Social and Behavioral Science for Prevention (Select one of the following):1
HIV/AIDS in Africa: A Multidisciplinary Approach to Support HIV/AIDS Care and Treatment Programs
Alcohol Use and Misuse
Obesity in the 21st Century: Causes, Consequences and Countermeasures
Tobacco, Disease and the Industry: cigs, e-cigs and more
Intersectionality and Health Inequities
Meditation, Mindfulness and Health
Measuring Mindfulness
The Craving Mind
Social Determinants of Health
Designing and Evaluating Public Health Interventions
Politics of Food
5. Biology (Select one of the following)1
Note that AP Biology does not exempt students from this requirement. Most students will likely take BIOL 0200. Students who place out of BIOL 0200 with AP credit can choose one of the other four (4) courses.
The Foundation of Living Systems
Genetics
Introductory Microbiology
Principles of Immunology
Principles of Physiology
6. Humanities/Fine Arts/Humanistic Social Sciences Course for Public Health (Select one of the following)1
African American Health Activism from Emancipation to AIDS
Policy, Culture and Discourse that Shape Health and Access to Healthcare
Race, Sexuality, and Mental Disability History
The Anti-Trafficking Savior Complex: Saints, Sinners, and Modern-Day Slavery
Health and Healing in American History
Introduction to Contemplative Studies
Writing Science
Treaty Rights and Food Fights: Eating Local in Indian Country
Native American Environmental Health Movements
Reproductive Health: Science, Politics, and the Media
Introduction to Gender and Sexuality Studies
Literary Imaginations of the Law: Human Rights and Literature
Spanish for Health Care Workers
Health, Illness and Medicine in Spanish and Spanish American Literature and Film
Foods and Drugs in History
From the Columbian Exchange to Climate Change: Modern Global Environmental History
History of Medicine I: Medical Traditions in the Old World Before 1700
Humanitarianism and Conflict in Africa
From Medieval Bedlam to Prozac Nation: Intimate Histories of Psychiatry and Self
Gender, Race, and Medicine in the Americas
Medicine and Public Health in Africa
U.S. Human Rights in a Global Age
International Perspectives on NGOs, Public Health, and Health Care Inequalities
Sexuality, Human Rights and Health: Latin American Perspective and Brazilian Experiences
Modern Science and Human Values
Global Justice
Histories of Global Health from Lusophone Africa: Biomedical Actions in Angola, Mozambique, Guinea
Arts and Health: Theory
7. General Electives (Class of 2021: Select two)2
General electives may be selected from: A. All PHP and BIOL course offerings; B. the approved content area electives (#2, #3, #4, and #5) listed above; or C. the approved general electives listed below. No more than one (1) BIOL course can count as a general elective.
HIV/AIDS in Africa: A Multidisciplinary Approach to Support HIV/AIDS Care and Treatment Programs
Pathology to Power: Disability, Health and Community
Policy, Culture and Discourse that Shape Health and Access to Healthcare
Health and Healing in American History
Food in American Society and Culture
Anthropology and Global Social Problems: Environment, Development, and Governance
Culture and Health
AIDS in Global Perspective
Bioethics and Culture
Anthropology of Addictions and Recovery
International Health: Anthropological Perspectives
Principles of Nutrition (Human Biology/Physiology course)
Nutrition for Fitness and Physical Activity
Conservation Medicine
The Biology of AIDS
Botanical Roots of Modern Medicine
The Foundation of Living Systems (Human Biology/Physiology course)
Genetics (Human Biology/Physiology course)
Principles of Immunology (Human Biology/Physiology course)
Principles of Physiology (Human Biology/Physiology course)
Diet and Chronic Disease
Controversies in Medicine (Human Biology/Physiology course)
Social Contexts of Disease
Social Psychology
Abnormal Psychology
Nudge: How to Use Social Psychology to Create Social Change
Development and the International Economy
Introduction to Human Development and Education
Humans, Nature, and the Environment: Addressing Environmental Change in the 21st Century
Environmental Science in a Changing World
Introduction to Environmental GIS
Native American Environmental Health Movements
Reproductive Health: Science, Politics, and the Media
International Perspectives on NGOs, Public Health, and Health Care Inequalities
The Brain: An Introduction to Neuroscience (Human Biology/Physiology course)
Psychoactive Drugs and Society
Nonprofit Organizations
Engaged Research Engaged Publics
Social Entrepreneurship
Politics of Food
Sex, Gender, and Society
Environment and Society
HIV/AIDS: Politics, Culture and Society
Unequal From Birth: Child Health From a Social Perspective
Inequalities and Health
Perceptions of Mental Illness
Macro-Organizational Theory: Organizations in Social Context
Aging and the Quality of Life
Human Needs and Social Services
Sociology of Medicine
Aging and Social Policy
Social Perspectives on HIV/AIDS
Military Health: The Quest for Healthy Violence
Science and Social Controversy
Science and Technology Policy in the Global South
Meditation and the Brain: Applications in Basic and Clinical Science
Total Credits12

Honors:

Honors Track, Classes of 2021 & 2022

An Honors track is available for students who qualify. For Classes of 2021 & 2022, Honors track students do not enroll in PHP 1910, Senior Seminar during the Fall semester of their senior year, but rather are required to enroll in PHP 1980 for both semesters of their senior year to conduct research and write the honors thesis. Thus, for Classes of 2021 & 2022, thirteen courses are required for completion of the concentration requirements for an honors track student.

Honors Track, Classes of 2023 & Beyond

For Classes of 2023 & beyond, Honors track students enroll in PHP 1910, Senior Seminar during Fall semester of their senior year as well as PHP 1980, Honors Thesis Prep during both semesters of their senior year to conduct research and write the honors thesis. Thus, for Classes of 2023 & beyond, fourteen courses are required for completion of the concentration requirements for an honors track student.

Please visit https://www.brown.edu/academics/public-health/undergraduate/curriculum for details or email Elizabeth Mellen for more information.

Study Abroad/Study Away: Up to four courses taken elsewhere (study abroad or other transfer) may be applied to non-core courses (up to two per semester abroad). Meet with your concentration adviser to discuss and provide a syllabus for each course to be considered for transfer to your concentration plan.

Statistics

The Bachelor of Science degree in Statistics is designed to provide foundations that include basic statistical concepts and methodologies, and to expose students to the role of statistical thinking and analysis in interdisciplinary research and in the public sphere. To ensure deep rigorous understanding of the foundations and main methods of analysis in statistics, the program is composed of three parts: a) foundations in mathematics and computing, combined with an introduction to statistical thinking and practice; b) four core courses on the fundamentals of statistical theory and data analysis; and c) more advanced material covering important areas of statistical methodology. A capstone project involving substantial data analysis or focused on methodology/theory is required. Students also have opportunities to acquire practical experience in study design, data management, and statistical analysis by working as undergraduate research assistants in projects in one of the participating academic departments or Research Centers at Brown.

The Concentration is based on several premises: that statistics is a scientific discipline in its own right, with specialized methodologies and body of knowledge; that it is essentially concerned with the art and science of data analysis; and that it is best taught in conjunction with specific, substantive applications. To this end, the Concentration is designed to provide foundations that include basic statistical concepts and methodologies, and to expose students to the role of statistical thinking and analysis in interdisciplinary research and in the public sphere.  The Concentration prepares students for careers in industry and government, for graduate study in statistics or biostatistics and other sciences, as well as for professional study in law, medicine, business, or public administration. The undergraduate concentration guide is available here

The Undergraduate Concentration in Statistics is administered by the Department of Biostatistics and leads to a Sc.B. degree. To ensure deep rigorous understanding of the foundations and main methods of analysis in statistics, the program is composed of three parts. The first part entails foundations in mathematics and computing, combined with an introduction to statistical thinking and practice. The second part includes four core courses that provide a comprehensive account of the fundamentals of statistical theory and data analysis. The third part delves into more advanced material covering important areas of statistical methodology. In addition to the formal coursework, students are required to complete a capstone project that involves a substantial data analysis or a methodological/theoretical project.  Students also have opportunities to acquire practical experience in study design, data management, and statistical analysis by working as undergraduate research assistants in projects in one of the participating academic Departments or Research Centers at Brown. 

The program requires thirteen one-semester courses. The required courses are as follows:

LEVEL I: Foundations in Mathematics - Calculus2
Introductory Calculus, Part II
Intermediate Calculus
LEVEL I - Foundations in Mathematics - Linear Algebra1
Linear Algebra
Computing1
Introduction to Scientific Computing
Introduction to Scientific Computing and Problem Solving
Introduction to Statistical Thinking and Practice1
Essentials of Data Analysis
With the approval of the Director of the Statistics Concentration, one of the following courses may serve as replacement:
Introductory Statistics for Social Research
Introduction to Econometrics
Essential Statistics
Statistical Analysis of Biological Data
Statistical Methods
LEVEL II - Core Courses in Theory and Data Analysis2
Statistical Inference I
Honors Statistical Inference I
Statistical Inference II
OR
Probability
Mathematical Statistics
Introduction to Biostatistics1
Principles of Biostatistics and Data Analysis
OR
Principles of Biostatistics and Data Analysis
LEVEL III: Advanced Courses in Statistical Methods2
Statistical Programming in R
OR
Statistical Programming with R
AND
Applied Regression Analysis
OR
Applied Regression Analysis
Capstone Project1
Independent Study
Electives in Social Science and Biostatistics (Students must choose 2)2
Market and Social Surveys
Principles and Methods of Geographic Information Systems
Techniques of Demographic Analysis
Machine Learning
Computational Molecular Biology
Algorithmic Foundations of Computational Biology
Data Science
Fundamentals of Epidemiology
Clinical Trials Methodology
Introduction to Methods in Epidemiologic Research
Intermediate Methods in Epidemiologic Research
Fundamentals of Probability and Statistical Inference
Statistical Inference I
Bayesian Statistical Methods
Practical Data Analysis
Statistical Inference II
Analysis of Lifetime Data
Linear Models
Causal Inference and Missing Data
Statistical Methods in Bioinformatics, I
Quantitative Models of Biological Systems
Inference in Genomics and Molecular Biology
Operations Research: Probabilistic Models
Computational Probability and Statistics
Information Theory
Recent Applications of Probability and Statistics
Graphs and Networks
Recent Applications of Probability and Statistics
Pattern Recognition and Machine Learning
Introduction to Programming for the Mind, Brain and Behavior
Computational Cognitive Neuroscience
Health Economics
Mathematical Econometrics I
Mathematical Econometrics II
Big Data
Applied Algebraic Topology
Other Analytical/Computational/ Statistical courses with the approval of the Director of the Statistics Concentration
Total Credits13

Prospective students will be able to obtain Advanced Placement credit for the requirements in mathematics. Students who have already completed an introductory course in statistics will be granted permission to proceed to Level II core courses if they meet the prerequisites in mathematics and computing.

PHP 0100: As part of the capstone course or thesis, students should complete an online course, PHP 0100, at their own pace. This course is a requirement and is meant to give a broad overview of public health and it allows students to see different areas in public health where statistics is being used. The course does not require any additional credit and is completed as part of the independent study, PHP 1970/1980. Students who are in a double concentration in public health are exempt from this course.

Senior Thesis: A senior honors thesis is not a requirement for graduation, but concentrators who choose to write one are required to write a manuscript that describes a major project of statistical data analysis that they performed or a simulation study to evaluate the performance of a statistical method. Students that decide to write an honor thesis will generally integrate their capstone project into their thesis. Generally, writing a senior thesis includes two semesters of independent study (PHP 1980), the capstone project may serve as one of those.

Honors: Statistics requires the completion of a senior thesis and a superior record in the program. 

Study Abroad/Study Away: Up to two courses taken elsewhere (study abroad or other transfer) may be applied to required courses. Meet with a concentration adviser to discuss; provide a syllabus for each course to be considered for transfer to your concentration plan.

The program is administered by the Department of Biostatistics, located at 121 South Main Street, 7th floor.

For additional information please contact: Roee Gutman, Box G-S-121-7; Telephone: 401-863-2682; Fax: 401-863-9182; e-mail: Roee Gutman

Master of Public Health

The Brown MPH has a singular purpose: to train leaders in public health who are armed with the skills to conduct research, bring about policy change, and positively affect the health of populations. The program includes an internship, a thesis, and the option of customizing your MPH with one of several concentrations.  

The MPH Program has a 14 course requirement (12 standard courses and 2 half courses).  In addition to the core courses listed below (4 standard and 2 half courses), MPH students must complete 5 concentration courses and 3 general MPH electives.  For further information on program curriculum, please visit: https://www.brown.edu/academics/public-health/mph/curriculum.

MPH Program Core Course Requirements

MPH Core Course Requirements
Students must complete one of the following 2 course sequences in Biostatistics and Applied Data Analysis:
Sequence 1:
Biostatistics and Applied Data Analysis I
BioStatistics and Data Analysis II
Sequence 2:
Principles of Biostatistics and Data Analysis
Applied Regression Analysis
Students must complete one of the following Epidemiology courses:
Introduction to Methods in Epidemiologic Research
Foundations in Epidemiologic Research Methods
Students must complete the following course:
Designing and Evaluating Public Health Interventions
Students must complete the following two half credit courses:
Applied Public Health: Systems and Practice
Applied Public Health: Policy, leadership and communication

A five-year integrated Undergraduate/MPH (UG/MPH) program is also offered. This rigorous program in professional public health education is open to Brown undergraduates in any concentration. Students accepted into the program will complete the degree requirements for both their undergraduate degree and an MPH degree in a five-year period. Students must take 13 total course credits toward the MPH (5.5 during their first four years and 7.5 courses in the fifth year). For more information, please visit: https://www.brown.edu/academics/public-health/mph/ugmph

Dual Degree Program: Master of Public Health (MPH) and Master of Public Affairs (MPA)

The School of Public Health and the Watson Institute for International and Public Affairs  also offer a dual-degree Master of Public Health (MPH) and Master of Public Affairs (MPA) program.  Emphasizing a learning by doing approach, this rigorous program will offer highly qualified applicants the opportunity to gain training in public health and public policy to prepare them to address the critical health policy issues in the United States and throughout the world.  The dual degree program starts in summer and includes 20 courses (14 full courses and 6 half courses) as well as an internship and a master's thesis.  Students will benefit from the rich academic resources at the Watson Institute and the School of Public Health, as well as their extensive applied learning programs in Rhode Island, as well as throughout the United States and the world.

Program and admissions information can be found here: https://www.brown.edu/academics/public-health/mph/mph-mpa

Biostatistics

The graduate programs in Biostatistics offers comprehensive course work leading to a Master of Science  (Sc.M.); a Master of Arts (A.M.) degree for students in the 5th-year Master's program and Brown's Open Graduate Education Program; and the Doctor of Philosophy (Ph.D.) degrees. The graduate programs in Biostatistics are designed to provide training in theory, methodology, and practice of statistics in biology, public health, and medical science. The programs provide comprehensive training in theory and methods of biostatistics, but is highly interdisciplinary and requires students to acquire expertise in a field of application. The Ph.D. program is intended to enable graduates to pursue independent programs of research.  

Full details for the Biostatistics Doctoral Program can be found at https://www.brown.edu/academics/public-health/biostats/academics/doctoral-program.  

The Sc.M. program provides training for application of advanced methodology in professional and academic settings.  The Department of Biostatistics offers  a 5th-Year Master's (A.M. degree) which is available to Brown Undergraduates.  Required courses for the Biostatistics Master's degree program are listed below.  Additional details can be found on the Department's webpage:  https:\\brown.edu\biostatistics

For more information on admission and program requirements, please visit https://www.brown.edu/academics/public-health/admissions

Required Courses
PHP 2515Fundamentals of Probability and Statistical Inference (OR )1
Statistical Inference I
PHP 2514Applied Generalized Linear Models1
PHP 2516Applied Longitudinal Data Analysis.5
PHP 2517Applied Multilevel Data Analysis.5
PHP 2550Practical Data Analysis1
PHP 2560Statistical Programming with R1
PHP 2610Causal Inference and Missing Data1
PHP 2650Statistical Learning and Big Data1
Electives (3 Courses)
PHP 2030Clinical Trials Methodology1
PHP 2530Bayesian Statistical Methods1
PHP 2580Statistical Inference II1
PHP 2601Linear Models1
PHP 2602Analysis of Lifetime Data1
PHP 2605Generalized Linear Models1
PHP 2620Statistical Methods in Bioinformatics, I1
PHP 2980Graduate Independent Study and Thesis Research1-5
PHP 2120Introduction to Methods in Epidemiologic Research1
PHP 2561Methods in Informatics and Data Science for Health1
CSCI 1420Machine Learning1
CSCI 1470Deep Learning1
CSCI 1570Design and Analysis of Algorithms1
CSCI 1810Computational Molecular Biology1

Clinical and Translational Research

The Master of Science in Clinical and Translational Research (CTR) is designed primarily for physicians, doctorally-trained basic scientists, and students in doctoral programs or medical school. The goal of the Master's in Clinical and Translational Research Program is to train clinicians and basic scientists to extend basic scientific research into the clinical arena, ultimately leading to improvements in individual and population health. By translating basic research into improved clinical outcomes, researchers and clinicians are able to provide new treatments to patients more efficiently and quickly.   

Full details on the Master of Science in Clinical and Translational Research, including the most up to date list of course requirements, can be found at https://www.brown.edu/academics/public-health/ctr/masters

For more information on admission, please visit: https://www.brown.edu/academics/public-health/admissions

Master's in CTR Requirements

Master's in CTR Requirements
Intro to Research Methods (Students must complete one of the following two courses)
Introduction to Methods in Epidemiologic Research
Foundations in Epidemiologic Research Methods
Biostatistics and Applied Data Analysis (Students must complete one of the following 2 courses sequences)
Sequence 1:
Biostatistics and Applied Data Analysis I
BioStatistics and Data Analysis II
Or
Sequence 2:
Principles of Biostatistics and Data Analysis
Applied Regression Analysis
Advanced Research Methods (Students must complete two of the following courses)
Statistical Programming in R
Clinical Trials Methodology
Survey Research Methods
Qualitative Methods in Health Research
Interpretation and Application of Epidemiology
Medicare: A Data Based Policy Examination
Introduction to Evidence-based Medicine
Introduction to Health Decision Analysis
Methods in Informatics and Data Science for Health
Scientific Writing (Students must complete the following course)
Research Grant Writing for Public Health
Topics in CTR (Students must enroll in this half credit course two times to fulfill the one credit requirement)
Topics in Clinical, Translational and Health Services Research
Students must complete two CTR electives found at https://www.brown.edu/academics/public-health/education-training/masters/clinical-and-translational-research/scm-ctr-electives

The Certificate in Clinical and Translational Research is designed for trainees who need a more structured and intensive experience than can be obtained from taking one or two courses as a special/non-degree student, but who do not need or are not in a position to pursue the full Master’s Degree.  Students in the Certificate Program in Clinical and Translational Research must complete four courses.  Full details on the Certificate in CTR can be found at https://www.brown.edu/academics/public-health/ctr/certificate.

Certificate in CTR Course Requirements

Certificate in CTR Course Requirements
Research Methods (Students must complete one of the following courses)
Introduction to Methods in Epidemiologic Research
Foundations in Epidemiologic Research Methods
Research Methods in Behavioral Science
Biostatistics and Applied Data Analysis (Students must complete both of the following courses)
Biostatistics and Applied Data Analysis I
BioStatistics and Data Analysis II
Students must complete one elective from the list found at https://www.brown.edu/academics/public-health/ctr/certificate

Health Services Research

The graduate program in Health Services Research offers comprehensive course work leading to the Doctor of Philosophy (Ph.D.) degree.  The program seeks to develop scientists experienced in the use of state-of-the-art experimental and non-experimental research methods to investigate how people obtain access to health care, the components and impacts of health care costs, and what happens to patients as a result of care. Health services research aims to identify the most effective ways to organize, manage, finance, and deliver high quality care to benefit population health.

For more information on admission and program requirements, please visit: https://www.brown.edu/graduateprograms/health-services-research-phd

Global Public Health

As with all educational programs in the School of Public Health, our Global Public Health ScM students learn public health by doing public health. Course work comes alive during an international fieldwork experience that fosters deep engagement and understanding of a global public health location. Academic and hands-on experiences culminate with a thesis project. Most full-time students complete the degree in two years, fulfilling the fieldwork requirement during the summer between academic years 1 and 2. The degree may be completed on a part-time basis.

  • 12 courses, including 9 required courses and 3 electives
  • 8-week international fieldwork experience
  • Thesis project

For further information on admission and program requirements, please visit: https://www.brown.edu/academics/gradschool/programs/global-public-health

The School is no longer accepting applications for the Sc.M. in Global Public Health. Students interested in studying Global Public Health at the master's level are strongly encouraged to apply to our research-intensive MPH program.

 
PHP 2710Interdisciplinary Perspectives on Disability and Death in the Global South1
PHP 2730Including the Excluded: Global Health Ethics1
PHP 2507Biostatistics and Applied Data Analysis I1
PHP 2120Introduction to Methods in Epidemiologic Research1
PHP 2720Implementing Public Health Programs and Interventions in the Global South1
PHP 2740Learning Global Health by Doing Global Health: Global Health Thesis Seminar1
PHP 2508BioStatistics and Data Analysis II1
PHP 2750 Communicating and Disseminating Global Public Health Research1
PHP 2760 Critical Perspectives in Global Health1
Plus 3 electives3
Total Credits12