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Causality
Part I: From causal questions to the statistical estimation problem
Part II: Statistical estimation and interpretation
Introduction to estimation
Introduction to data-adaptive estimation and Super Learning
Estimation of causal effects with data-adaptive methods
The propensity score and inverse probability weighting
Inverse probability of treatment weighting (IPTW) for marginal structural model (MSM) parameters
Introduction to Targeted Maximum Likelihood Estimation (TMLE)
TMLE examples, Interpretation, & Wrap-up

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