Propensity score estimation using classification and regression trees in the presence of missing covariate data

no code implementations • 25 Jul 2018 • Bas B. L. Penning de Vries, Maarten van Smeden, Rolf H. H. Groenwold

Data mining and machine learning techniques such as classification and regression trees (CART) represent a promising alternative to conventional logistic regression for propensity score estimation.

General Classification Imputation +1