University of Iowa 3 credits IGPI
Causal inference overview, emphasis on inference in observational research; conceptual issues (e.g., counterfactuals, causal graphs, time-varying treatments/confounding), methods (e.g., inverse probability weighting, doubly robust estimators), and related applications (e.g., causal mediation analysis, quantitative bias analysis); for advanced biostatistics or epidemiology students. Prerequisites: (BIOS:5720 and BIOS:5730) or (EPID:6400 and EPID:5610). Same as BIOS:6650, EPID:6655.
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