Program: MPH
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Qualitative Research Methods for Health Systems and Population Health
Builds on introductory training in qualitative research methods by diving deeper into different frameworks, study designs, sampling approaches, and data collections tools. Covers various data analytic approaches, as well as data visualization, interpretation, writing and presenting qualitative research findings. Students learn to apply these concepts and execute a qualitative research project from start to finish.
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Health Program Evaluation
Focuses on the use of evaluations within health programs. Discusses how program evaluations utilize research methods to answer questions concerning efficacy, implementation, and drivers of changes in health. It also looks at the reasons for creating program evaluations — the drivers of evaluation, how results can be transformed into action, and the role of equity…
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Advanced Health Services Research Methods I: Large Public Databases; Big Data
Introduces the new big data of health services research, health claims, and survey databases. Discusses the promises and pitfalls of the data and models for analyzing the correlates of health care costs and utilization. Prerequisite: either HSERV 511, BIOST 511/BIOST 512/BIOST 513, BIOST 517/BIOST 518, or EPI 511/EPI 512, and permission of instructor.
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Advanced Health Services Research Methods II: Hierarchical and Incomplete Data
Introduces advanced biostatistical techniques for analyzing incomplete data in population health research. Examines a wide range of topics including: missing data and potential outcome framework for causal inference, propensity score and multiple imputation, multilevel random effect linear and logistic models, and empirical Bayes prediction Prerequisite: either HSERV 523 or permission of instructor.