PH140 664 - Causal Inference In Medicine And Public Health I

Description
Presents an overview of methods for estimating causal effects: how to answer the question of “What is the effect of A on B?” Includes discussion of randomized designs, but with more emphasis on alternative designs for when randomization is infeasible: matching methods, propensity scores, regression discontinuity, and instrumental variables. Methods are motivated by examples from the health sciences, particularly mental health and community or school-level interventions.
Credits
4
Recent Professors
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Recent Semesters
Spring 2020, Spring 2019
Offered
TuTh
Avg. Sections
2