All Health Services PhD students choose an Area of Emphasis (AOE) and take a minimum of five courses or 15 credits in specialized theory or methods coursework. The area of emphasis is officially declared after the first year in the program, but it’s a good idea to have a sense of what AOE’s you feel most drawn when you apply and to state them explicitly in your application (statement of purpose).
Prospective students are welcome to contact faculty representatives of the areas of emphasis to learn of current research activities and opportunities.
Areas of Emphasis
Evaluative Sciences and Statistics
Lead Faculty: Emily Williams
The Evaluative Sciences and Statistics area of emphasis provides the student with advanced methods and analytic skills. The student may choose to acquire in-depth skills in a specific field, such as evaluation, econometrics, or statistical techniques; or the student may choose a combination of courses that provide skills in a broader area, such as survey research methods, outcomes assessment, or qualitative methods. In either case, the goal is to develop in-depth knowledge of research methods and analytical techniques that can be applied to the dissertation topic in health services research.
Credit and Course Requirements
Credits Needed: 15
Required Courses
- HSERV 584: Assessing Outcomes in Health and Medicine (3 credits)
- BIOST 536: Categorical Data Analysis in Epidemiology (4 credits)
- BIOST 537: Survival Data Analysis in Epidemiology (4 credits)
- BIOST 540: Longitudinal and Multilevel Data Analysis (3 credits)
Choose at least four additional courses with the guidance of your mentor. At least two of the four courses must be from the statistics courses list.
Statistics Courses – Choose Two+
At least two of the four of the additional required courses you select (with guidance of your mentor) must be from the following.
- BIOST 516: Statistical Methods in Genetic Epidemiology (3 credits)
- BIOST 526: Bayesian Statistics (3 credits)
- BIOST 544: Introduction to Biomedical Data Science (4 credits)
- BIOST 546: Machine Learning for Biomedical and Public Health Big Data (3 credits)
- BIOST 556: Introduction to Statistics and Probability (5 credits)
- CS&SS 508: Introduction to R for Social Scientists (1 credit)
- CS&SS 510: Maximum Likelihood Methods for the Social Sciences (5 credits)
- CS&SS 526: Structural Equation Models for the Social Sciences (3 credits)
- CS&SS 529: Sample Survey Techniques (3 credits)
- CS&SS 536: Analysis of Categorical and Count Data (3 credits)
- CS&SS 554: Statistical Methods for Spatial Data (3 credits)
- CS&SS 560: Hierarchical Modeling for the Social Sciences (4 credits)
- CS&SS 564: Bayesian Statistics for the Social Sciences (4 credits)
- CS&SS 566: Causal Modeling (4 credits)
- CS&SS 567: Statistical Analysis of Social Networks (4 credits)
- CS&SS 569: Visualizing Data (4 credits)
- CS&SS 589: Multivariate Data Analysis for the Social Sciences (3 credits)
- STAT 516, 517, 518: Stochastic Modeling of Scientific Data (4 credits each)
- STAT 519: Time Series Analysis (3 credits)
- STAT 542: Multivariate Analysis (3 credits)
Evaluation and Cost-Effectiveness Courses
- ECON 454: Cost-Benefit Analysis (5 credits)
- HEOR 530: Economic Evaluation in Health and Medicine (3 credits)
- HEOR 532: Advanced Methods in Economic and Outcomes Evaluation in Health and Medicine (3 credits)
Econometrics
- ECON 580: Econometrics I (4 credits)
- ECON 581: Econometrics II (4 credits)
Survey Methods Courses
- HSERV 527: Survey Research Methods (4 credits)
- BIOST 529/CS&SS 529: Sample Survey Techniques (3 credits)
- EDPSY 539: Classic Test Theory Reliability and Validity (3 credits)
- EDPSY 591/592: Item Response Theory (3 credits)
Epidemiology Courses
- EPI 542: Clinical Epidemiology (2 credits)
- EPI 555/BIOST 555/ GH 534: Statistical Methods for Spatial Epidemiology (3 credits)
- EPI 570: Occupational & Environmental Epidemiology (2 credits)
- EPI 573: Methods and Issues in Using Biological Measurements in Epidemiological Research (3 credits)
- EPI 548/HSERV 548: Research Methods for Social and Contextual Determinants of Health (3 credits)
Methods Courses
- BIOST 524: Design of Medical Studies (3 credits)
- HSERV 529: Introduction to Systematic Reviews and Meta-analysis of Evidence (3 credits)
- BIME 541: Introduction to Systematic Reviews & Meta-analysis of Evidence (2 credits)
- NMETH 588: Mixed Methods Research for Health Sciences (4 credits)
- PUBPOL 513: Public Policy Analysis (3 credits)
- EDLPS 574: Mixed Methods in Educational Research (3 credits)
- GH 535: Advanced Methods for Global Health I (4 credits)
- GH 537: Advanced Methods for Global Health III (4 credits)
Qualitative Methods Courses
- HSERV 517: Qualitative Research Methods: An Introduction (3 credits)
- GH 539: Analyzing Qualitative Data (3 credits)
- GEOG 425: Qualitative Methodology in Geography (5 credits)
- EDPSY 586, 587: Qualitative Methods of Educational Research (5 credits)
- SOC WL 585, 586: Qualitative Methods in Social Work Research (3 credits)
Health Behavior and Social Determinants of Health
Lead Faculty: India Ornelas
The Health Behavior and Social Determinants of Health area of emphasis provides opportunities for trainees to apply social and behavioral science theory and methods to the study and practice of public health. This AOE offers specialized instruction in the social determinants of health, health behavior theory, intervention methods, program planning and evaluation, health communication, and community-based participatory research.
Credit and Course Requirements
Credits Needed: 15
Required Courses
Electives – Choose Two+
Choose at least two additional courses with mentor or committee guidance.
- ANTH 475: Perspectives in Medical Anthropology (5 credits)
- ANTH 479: Advanced Topics in Medical Anthropology (3-5 credits)
- ANTH 575: Cultural Construction of Illness: Seminar in Medical Anthropology (5 credits)
- BIOST 536: Categorical Data Analysis in Epidemiology (4 credits)
- CS&SS 566: Causal Modeling (4 credits)
- EPI 546: Psychiatric Epidemiology (3 credits)
- GH 514: Global Societal Determinants of Health (2-3 credits)
- HSERV 507: Health Communication and Marketing for Health Promotion: Theory and Practice (3 credits)
- HSERV 526: Advanced Qualitative Research Methods in Public Health (4 credits)
- HSERV 527: Survey Research Methods (4 credits)
- HSERV 555: Health Disparities (2 credits)
- HSERV 584: Assessing Outcomes in Health and Medicine (3 credits)
- HSERV 586: Medical Geography (3 credits)
- NURS 578: Social Justice and Determinants of Health (3 credits)
- SOC 467: Immigration and Ethnicity (5 credits)
- SOC 510: Seminar in Sociological Theory (3 credits)
- SOC 513: Demography and Ecology (3 credits)
- SOC 518: Social Stratification (3 credits)
- SOC 565: Inequality: Current Trends and Explanations (3 credits)
- SOC 590: Foundations of Population Health and Health Disparities (1-3 credits)
- SOC WL 577: Promoting Well-Being among At-Risk Groups through Prevention Research (3 credits)
- SOC WL 591: The Embodiment of Risk, Health Disparities and Stress Mechanisms (3 credits)
- NUTR 515: Body Weight & Size Inclusivity: Clinical, Behavioral, and Societal Perspectives
Health Economics
Lead Faculty: Paul Fishman
Health economics uses economic theory and methods to answer relevant questions in health care and medicine both at the individual and group levels. The area of emphasis in health economics is designed to explore this theory and its applications with the goal of providing doctoral trainees with the skills needed to independently apply this knowledge to different health care settings in their work and also to conduct cutting-edge research within the field. The curriculum covers a broad spectrum of subjects including economics, statistics, epidemiology, health status measurements, health services research, and public policy.
Credit and Course Requirements
Credits Needed: 15
Note: Make sure to check that you meet any prerequisites before registering for the courses listed below.
Prerequisite Courses
Choose one of the following courses, which are for people without a sufficient background in economics.
Required Courses
Electives – Choose One
- ECON 450: Public Finance: Expenditure Policy (5 credits)
- ECON 518: Contract Theory (3 credits)
- ECON 534: Empirical Industrial Organization (3 credits)
- ECON 591: Microeconomics of Development (3 credits)
- ECON 592: Development Policy (3 credits)
- ECON 594: Economic Growth (3 credits)
- ECON 595: Growth and Inequality (3 credits)
Implementation Science
Lead Faculty: Christian Helfrich
Many evidence-based interventions fail to translate into meaningful patient or public health outcomes because they are not used effectively, consistently, or sometimes used at all, causing a “know-do” gap. Implementation science seeks to close the know-do gap by studying the causes, and developing and evaluating strategies to close it. Implementation scientists have robust theoretical and analytic training to address broad and complex implementation issues in health systems research.
The implementation science area of emphasis prepares PhD students with grounding in implementation concepts and frameworks, advanced methods and analytical skills, practical considerations related to engaging stakeholders, and understanding real-world context. Students may choose to acquire training in quantitative methods and qualitative methods that support their research interests. The goal is to develop in-depth knowledge of implementation theory, applicable research methods and analytical techniques, and real-world implementation considerations that can be applied to a variety of dissertation topics in health systems research.
Credit and Course Requirements
Credits Needed: 15
Required Courses
Additional Required Courses – Choose One to Two
Students can take both and only take one additional elective under “Electives.”
Electives – Choose One to Two
If you take both courses listed under “Additional Required Courses” then you only need to select one of the following.
- BIOST 536: Categorical Analysis of Count Data
- BIOST 540: Longitudinal and Multilevel Data Analysis
- BIOST 544: Introduction to Biomedical Data Science
- GH 538: Advanced Qualitative Research Design & Methods in Global Health
- GH 539: Analyzing Qualitative Data
- HSERV 507: Health Communication and Marketing for Health Promotion: Theory and Practice
- HSERV 517: Qualitative Research Methods for Health Systems and Population Health
- HSERV 587: Health Policy Economics
- NMETH 588: Mixed Methods Research for Health Sciences
- SOC WL 553: Policy Implementation in Social Work
Occupational Health
Lead Faculty: Janessa Graves
Occupational health services researchers study systems affecting worker well-being, develop performance measures, and assess the organization, access, cost, quality, and outcomes of care for work-related injuries and health problems. They also design and evaluate preventive and curative programs that deliver care effectively, efficiently, and equitably. This area of emphasis provides students with the skills and knowledge necessary to be an occupational health services researcher.
The occupational health area of emphasis is required for students enrolled in the Occupational Health Services Research (OHSR) Training Program. The OHSR Training Program offers training in health services research methods with a focus on occupational health.
The occupational health area of emphasis is based on the custom area of emphasis model, including standardized features necessary to meet the particular needs of OHSR trainees as well as the requirements of the training grant.
Occupational Health Area of Emphasis Criteria
Criteria are based on the custom area of emphasis model for the Health Services PhD program.
The area of emphasis should consist of a cohesive set of courses that prepare the student to conduct occupational health services research. Justification for each proposed course (other than the required courses listed below) must be provided by the student. The justification must describe the student’s individual research focus (e.g., occupational health disparities, workplace health promotion, workers’ compensation system research, occupational injury/illness outcomes research, etc.), and explain how the proposed set of courses are important to the student’s education and training in occupational health services research.
Trainees have the additional option of completing one of the department’s other defined areas of emphasis, but doing so is not required.
Independent study coursework with faculty who have the necessary expertise may be required in order to meet specific educational needs. A maximum of four credits of independent study coursework (600 level, in any combination of credits by quarter) may be counted toward the 15-credit requirement. The content of such coursework must be described and formally justified in the area of emphasis proposal, and approval is not guaranteed. The content must have a focus specific to occupational health research.
Credit and Course Requirements
Credits Needed: 15
Courses not listed below, including courses without an occupational health focus, may be included in the custom area of emphasis proposal with adequate justification, but approval is not guaranteed. It is recommended that approval of the custom area of emphasis proposal be obtained prior to enrollment in courses that are not listed below.
Required Courses
All PhD students in the occupational health area of emphasis must take the following courses.
- HSERV 590: Occupational Health Services Research Methods (2 credits)
- ENV H 580: Environmental and Occupational Health Sciences Seminar (1 credit)
Note: Up to 3 credits of ENV H 580 may be counted
Required Courses – Choose One
Recommended Elective Courses
- HSERV 548: Research Methods for Social and Contextual Determinants of Health (3 credits)
- HSERV 581: Strategies of Health Promotion (4 credits)
- ENV H 511: Environmental & Occupational Health (3 credits)
- ENV H 520: Advanced Technical Communication in Public Health (3 credits)
- ENV H 550: Occupational and Environmental Disease (3-4 credits)
- ENV H 556: Quantitative Occupational Exposure Analysis (3 credits)
- ENV H 564: Recognition of Health and Safety Problems in Industry (2 credits)
- ENV H 566: Introduction to Ergonomics (3 credits)
- ENV H 576: Clinical Occupational Medicine (2 credits)
- ENV H 592: Current Topics in Occupational Health Sciences (1 credit)
Note: Up to 2 credits of ENV H 592 may be counted - ENV H 596: Current Issues in Occupational and Environmental Medicine (2 credits)
Note: Up to 4 credits of ENV H 596/NURS 580 may be counted - NSG 554: Occupational Health Nursing: Practice Issues (3 credits)
- NSG 558: Occupational Health Nursing: Advanced Practice and Leadership in Program Development (3 credits)
- SOC WL 594: Embodiment of Risk, Outcome Disparities, and Stress Mechanisms (3 credits)
- MGMT 583: Special Topics in Organizational Behavior Research I (4 credits)
- MGMT 584: Special Topics in Organizational Behavior Research II (4 credits)
Training in Equity and Structural Solutions for Addictions (TESSA)
Lead Faculty: Emily Williams
This area of emphasis couples rigorous traditional methodologic training in health services research and addictions research with strong training in fields that can influence structures and contribute to anti-racism. Our goal is that TESSA will develop a new generation of diverse equity-focused addictions research scholars who are optimally prepared to develop and test novel strategies for prevention, treatment and recovery and implement effective strategies into real world settings.
This area of emphasis is required for students enrolled in the TESSA T32 Training Program, a pre- and postdoctoral training grant funded by the National Institute of Drug Abuse (NIDA). TESSA provides predoctoral and postdoctoral fellowship positions in multidisciplinary training for addiction health services research from an anti-racist lens.
Training in Equity and Structural Solutions for Addictions Criteria
Criteria are based on the custom area of emphasis model for the Health Services PhD program.
Credit and Course Requirements
Credits Needed: 15
Required Courses
All PhD students in the TESSA area of emphasis must take the following courses.
Required Courses – Choose One
Choose one of the following courses.
Recommended Elective Courses
- SOC 459: The New Inequality (5 credits)
- SOC 467: Immigration and Ethnicity (5 credits)
- SOC 513: Demography and Ecology (3 credits)
- SOC 518: Social Stratification (3 credits)
- SOC 565: Inequality: Current Trends and Explanations (3 credits)
- SOC 590: Foundations of Population Health and Health Disparities (1-3 credits)