Ryo Mishima

Optimization of coarsened exact matching through random forest classification

Abstract Background Coarsened exact matching (CEM) was developed to resolve the “matching paradox” in propensity score matching (PSM), where narrower caliper widths can paradoxically worsen covariate balance. However, its application to complex medical data faces practical challe...