Presented By: Institute for Healthcare Policy and Innovation
Introduction to Causal Inference and Treatment Effects
Chuck Huber
This talk introduces the basic concepts of causal inference including counterfactuals and potential outcomes. Chuck Huber of STATA Corp. will demonstrate how to use Stata's -teffects- suite of commands to fit causal models using propensity score matching, inverse-probability weighting, regression adjustment, "doubly-robust" estimators that use a combination of inverse-probability weighting with regression adjustment, and nearest-neighbor matching.
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Livestream Information
ZoomMarch 30, 2021 (Tuesday) 11:30am
Meeting ID: 93867820676
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