Adjustment Criteria for Recovering Causal Effects from Missing Data

Mojdeh Saadati, Jin Tian

Confounding bias, missing data, and selection bias are three common obstacles to valid causal inference in the data sciences. Covariate adjustment is the most pervasive technique f…