Improving propensity score weighting using machine learning
Improving propensity score weighting using machine learning
Abstract Machine learning techniques such as classification and regression trees (CART) have been suggested as promising alternatives to logistic regression for the estimation of propensity scores. The authors examined the performance of various CART‐based propensity score models using simulated data. Hypothetical studies of varying sample sizes ( n =500, 1000, …