Review paper

Estimation of Natural Indirect Effects Robust to Unmeasured Confounding and Mediator Measurement Error

Volume: 30, Issue: 6, Pages: 825 - 834
Published: Nov 1, 2019
Abstract
The use of causal mediation analysis to evaluate the pathways by which an exposure affects an outcome is widespread in the social and biomedical sciences. Recent advances in this area have established formal conditions for identification and estimation of natural direct and indirect effects. However, these conditions typically involve stringent assumptions of no unmeasured confounding and that the mediator has been measured without error. These...
Paper Details
Title
Estimation of Natural Indirect Effects Robust to Unmeasured Confounding and Mediator Measurement Error
Published Date
Nov 1, 2019
Volume
30
Issue
6
Pages
825 - 834
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.