Evaluating Flexible Modeling of Continuous Covariates in Inverse-Weighted Estimators

Volume: 188, Issue: 6, Pages: 1181 - 1191
Published: Jan 10, 2019
Abstract
Correct specification of the exposure model is essential for unbiased estimation in marginal structural models with inverse-probability-of-treatment weights. However, although flexible modeling is commonplace when estimating effects of continuous covariates in outcome models, its use is less frequent in estimation of inverse probability weights. Using simulations, we assess the accuracy of the treatment effect estimates and covariate balance...
Paper Details
Title
Evaluating Flexible Modeling of Continuous Covariates in Inverse-Weighted Estimators
Published Date
Jan 10, 2019
Volume
188
Issue
6
Pages
1181 - 1191
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.