Learning Bayesian Statistics
Bayesian Principal Stratification: Modeling Treatment Effects
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Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew explains how Bayesian principal stratification can be used to reason about treatment effects when there is an intermediate treatment or outcome that is only partially observed.
He discusses how latent variables can represent whether someone would take a stage-two treatment,…