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)

Estimating the effects of hypothetical interventions in longitudinal data: Inverse probability weighting of marginal structural models versus the parametric G-formula

S Taubman, J Robins, M Mittleman, M. Hernan

American Journal of Epidemiology

2008

Instrumental variable analysis for estimation of absolute and relative treatment effects with binary outcomes

JA Rassen, S Schneeweiss, RJ Glynn, MA Mittleman, MA. Brookhart

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