Estimating Causal Effects from Observations (Advanced Data Analysis from an Elementary Point of View)
Three-Toed Sloth 2013-04-25
Summary:
Estimating graphical models: substituting consistent estimators into the formulas for front and back door identification; average effects and regression; tricks to avoid estimating marginal distributions; propensity scores and matching and propensity scores as computational short-cuts in back-door adjustment. Instrumental variables estimation: the Wald estimator, two-stage least-squares. Summary recommendations for estimating causal effects.
Reading: Notes, chapter 23