78
3 credi ts
This course presents the methods for designing and conducting health surveys. Emphasis will be placed on problem
conceptualization, measurements, and questionnaire design in the context of a total survey design framework. Examples
of face-to-face, tel ephone, mail, and Internet s urveys wi ll be presented.
Prerequi sites: PHM 1690L & [PHM 2610 or PHM 2612L] or equivalents
PHD 3930 Econometrics in Public Health
3 credi ts
This course has two learning objectives: developing skills in quantitative methods for the analysis of complex data, a nd
understanding and critically evaluating public health research using econometric methods. This course consists of 11
uni ts , i ncluding linear regression, non-linear regression, analyzing cost as dependent variable, panel data methods,
random and fixed effect models, s pecification tests, endogeneity, instrumental variables, and selecti on models.
Prerequi site: Consent of i nstructor
PHD 3931 Advanced Econometrics
3 credi ts
This course introduces advanced techniques in statistics and econometrics for conducting successful health outcomes and
policy research. Students are expected to have an understanding of basic statistical concepts, such as discrete and
continuous random variables, probability distributions, joint distributions, conditional distributions, independence,
stati stical i nferences and es timations, properties of es timators, hypothesis tes ting, ordinary least square regression,
logistic regression, one-way ANO VA, c ontingenc y ta bles, a nd χ
2
(chi-square) analyses. Topics covered will include Causal
Inference, Causal Graphs, Treatment Effect Identification, Models of Causal Exposure, Li near regression, Panel Data
methods including Fixed and Random Effects estimation, Limited Dependent Variable Models l ike - Logi sti c regression,
Probit, Tobit, Heckman, 2-Part a nd 2-Step models, Interpreting Marginal Effects and Interactions for Li mited Dependent
Variable models, Modeling cost data especially using log transforms, Simultaneous Equations and Instrumental Variable
Analysis, and Use of Specification Tests like Hausman, Breusch-Pagan, White, Park, Glej ser and Box-Cox. The course will
emphasize practical applications of statistical methods to real world problems of public health and health outcomes
res earch.
Prerequi site: PHD 3930 or equivalent
PHD 3935 Advanced Health Economics
3 credi ts
This doctoral seminar-style course focuses on the application of microeconomic analysis to questions dealing with the
production of health, the demand for health services, the production and supply of health services, market equilibrium,
social health insurance, and government regulation of health sector activities.
Prerequi sites: [PHD 3910 or equivalent] & consent of instructor
PH 3940 Healthcare Outcomes and Quality Research
3 credi ts
This course introduces students to measurement and evaluation issues associated with patient-centered outcomes and
quality of care studies, an increasingly important component of present-day health services research. The focus will be on
the application, rather than development, of measurements. Topics that will be covered include development of the
outcomes framework, outcomes measures, risk adjustment of health outcomes, technical and practical issues with
meas urement and estimation, and empi rical examples of hea lthcare outcomes research. Outcome and quality measures
that will be covered include generic and condition-specific health status measures, satisfaction, patient trust, and patient
adherence.
PH 3941 Claims Data in Healthcare Research
3 credi ts
This course provides an overview of the elements of administrative claims data. This information will be crucial to any
student interested in utilizing claims data for research purposes. The course will focus on the various data fields in
enrollment, and medical claims, and pharmacy claims. Strategies for effectively querying claims datasets will be provided.
Multiple data sets include commercial claims, Medicare claims, and Medicaid claims.
Prerequisites: Familiarity wi th SAS or Stata