CAUSAL INFERENCE

STA 640

Statistical issues in causality and methods for estimating causal effects. Randomized designs and alternative designs and methods for when randomization is infeasible: matching methods, propensity scores, longitudinal treatments, regression discontinuity, instrumental variables, and principal stratification. Methods are motivated by examples from social sciences, policy and health sciences. Instructor: Li or Volfovsky

Day / Time: 

TuTh 01:25 PM-02:40 PM

Location: 

Old Chem 025

Instructor: 

Li, Fan

Section: 

01