• DOI:10.1515/em-2019-0024
Corpus ID: 196623362

Posterior predictive treatment assignment methods for causal inference in the context of time-varying treatments

@article{Liao2019PosteriorPT,
  title={Posterior predictive treatment assignment methods for causal inference in the context of time-varying treatments},
  author={Shirley Liao and Lucas R F Henneman and Corwin Zigler},
  journal={Epidemiologic Methods},
  year={2019},
  volume={9}
}

Shirley Liao, Lucas R F Henneman, Corwin Zigler

Published 2019

Computer Science, Mathematics

Epidemiologic Methods

Abstract Marginal structural models (MSM) with inverse probability weighting (IPW) are used to estimate causal effects of time-varying treatments, but can result in erratic finite-sample performance when there is low overlap in covariate distributions across different treatment patterns. Modifications to IPW which target the average treatment effect (ATE) estimand either introduce bias or rely on unverifiable parametric assumptions and extrapolation. This paper extends an alternate estimand… CONTINUE READING

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