April 23, 2013

Estimating Causal Effects from Observations (Advanced Data Analysis from an Elementary Point of View)

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

Advanced Data Analysis from an Elementary Point of View

Posted at April 23, 2013 10:30 | permanent link

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