Causal Inference with Two-Stage Logistic Regression - Accuracy, Precision, and Application

Abstract

Two-stage predictor substitution (2SPS) and the two-stage residual inclusion (2SRI) are two approaches to instrumental variable (IV) analysis. While 2SPS and 2SRI with linear models are well-studied methods of causal inference, the properties of 2SPS and 2SRI for logistic binary outcomes have not been thoroughly studied. We study the bias and variance… (More)

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Cite this paper

@inproceedings{Cai2014CausalIW, title={Causal Inference with Two-Stage Logistic Regression - Accuracy, Precision, and Application}, author={Bing Cai and Dylan S. Small}, year={2014} }