Intro to Quasi-Experimental Methods for Policy & Program Evaluation

Instructors: Gabriel L. Schwartz, PhD, Assistant Professor in the Department of Health Management & Policy, with a secondary appointment in Nursing at Drexel's College of Nursing and Health Professions. He is also a faculty member at the Drexel Urban Health Collaborative.

Dates: Monday, June 22-Friday, June 26

Time: 1:00 p.m. - 4:00 p.m. EST

Format: In person

Estimating the public health impacts of new policies or programs is one of the core functions of epidemiology and health services research. This course will offer an overview of the most common quasi-experimental methods used for policy and program evaluation, including difference-in-differences, interrupted time series, and regression discontinuity approaches. Lectures will be complemented by hands-on labs in R. Students will leave the course with frameworks for how to conceptualize and operationalize policy exposures and design policy and program evaluations to improve population health.

Students should have some familiarity with coding and regression models, though no R experience is required.

Continuing Education Credits*: 1.5 CEU or 15 CPH

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