Unbiased Causal Effect Estimation With Propensity Score Weighting
Inverse propensity score weighting corrects for selection bias by estimating the probability of treatment assignment and weighting the treated and control groups accordingly. It assumes that there are no unmeasured confounders that influence both treatment assignment and the outcome, and results in unbiased estimates of the causal effect of treatment. Causal Inference: The Holy Grail … Read more