A comparison of entropy balance and probability weighting methods to generalize observational cohorts to a population: a simulation and empirical example

Abstract

Entropy balance demonstrated the bias-variance tradeoff achieving higher estimate accuracy, yet lower estimate precision, compared with IPW methods. EB weighting required no post-processing and effectively mitigated observed bias and confounding. Copyright © 2016 John Wiley & Sons, Ltd.