This workshop covers the essential elements of answering causal questions in R, focusing on causal diagrams and modeling techniques like propensity scores and inverse probability weighting. By the end of the session, participants will have completed a comprehensive causal analysis, equipping them with practical skills for addressing causal questions in their work.
Main Sections
06:45 Setup
16:21 Casual Inference in R: Introduction
43:42 diagnose your model assumptions
01:02:05 when correlation is causation
01:10:02 time-varying confounding
01:56:35 Propensity scores
02:38:50 Bonus! Weighted Tables in R
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