Avi Feller, Evan Greif, Nhat Ho, Luke Miratrix, and Natesh Pillai write: Principal stratification is a widely used framework for addressing post-randomization complications. After using principal stratification to define causal effects of interest, researchers are increasingly turning to finite mixture … Continue reading