Covariate Selection Mechanisms for Propensity Score Estimation

• In Event: 67.048 - Multiple Linear Regression SIG: The General Linear Model

Abstract

The current study is to overview covariate selection mechanisms for propensity score estimation and discuss about situations related to covariate selections that have not been discussed in the literature. Through the overview along with an empirical example, this study will help researchers with covariate selections for implementing propensity score methods to reduce selection bias and increase the validity of causal inference using observational data.

Authors

• Haiyan Bai, University of Central Florida

• Xing Liu, Eastern Connecticut State University

• Wei Pan, Duke University