Literature DB >> 30590386

Point: Risk Ratio Equations for Natural Direct and Indirect Effects in Causal Mediation Analysis of a Binary Mediator and a Binary Outcome-A Fresh Look at the Formulas.

Mariia Samoilenko1, Geneviève Lefebvre1,2,3.   

Abstract

In this article, we review the formulas for the natural direct and indirect effects' risk ratios introduced by Ananth and VanderWeele (Am J Epidemiol. 2011;174(1):99-108) for causal mediation analysis of a binary mediator and a binary outcome. In particular, we show that the closed-form equations Ananth and VanderWeele provided do not correspond to the log-binomial model specified by these authors for the mediator variable, but rather to a logistic model. We then provide risk ratio equations for natural direct and indirect effects that truly pertain to a log-binomial model. We conclude with a discussion on the practical implications of the binary mediator model's specification by analysts. The related impact can be negligible or not, depending on the rareness of the mediator.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords:  binary mediator; causal mediation analysis; log-binomial model; logistic model; risk ratio

Year:  2019        PMID: 30590386     DOI: 10.1093/aje/kwy275

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  1 in total

1.  Counterpoint: Mediation Formulas With Binary Mediators and Outcomes and the "Rare Outcome Assumption".

Authors:  Tyler J VanderWeele; Linda Valeri; Cande V Ananth
Journal:  Am J Epidemiol       Date:  2019-07-01       Impact factor: 4.897

  1 in total

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