Literature DB >> 30590417

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

Tyler J VanderWeele1, Linda Valeri2, Cande V Ananth3,4.   

Abstract

In their accompanying article, Samoilenko and Lefebvre (Am J Epidemiol. 2019;188(7):1203-1205) correctly note 2 typographical errors in the formulas presented in a 2011 paper on placental abruption by Ananth and VanderWeele (Am J Epidemiol. 2011;174(1):99-108). Fortunately, to the best of our knowledge, researchers are using our methods papers and Dr. VanderWeele's 2015 book on mediation analysis (Explanation in Causal Inference; Oxford University Press, New York, New York), rather than the paper on placental abruption, to carry out their direct and indirect effect analyses; and in our methods papers and the book, the formulas are correct. The formulas discussed by Samoilenko and Lefebvre and in our work make reference to a "rare outcome assumption." In evaluating this assumption, it is important to note that the outcome is to be relatively rare across all strata defined by the exposure and the mediator-a point that is often neglected.
© The Author(s) 2018. 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:  direct and indirect effects; mediation; odds ratios; rare outcomes

Mesh:

Year:  2019        PMID: 30590417      PMCID: PMC6601523          DOI: 10.1093/aje/kwy281

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


  4 in total

1.  Placental abruption and perinatal mortality with preterm delivery as a mediator: disentangling direct and indirect effects.

Authors:  Cande V Ananth; Tyler J VanderWeele
Journal:  Am J Epidemiol       Date:  2011-03-23       Impact factor: 4.897

2.  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.

Authors:  Mariia Samoilenko; Geneviève Lefebvre
Journal:  Am J Epidemiol       Date:  2019-07-01       Impact factor: 4.897

3.  On a Square-Root Transformation of the Odds Ratio for a Common Outcome.

Authors:  Tyler J VanderWeele
Journal:  Epidemiology       Date:  2017-11       Impact factor: 4.822

4.  Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros.

Authors:  Linda Valeri; Tyler J Vanderweele
Journal:  Psychol Methods       Date:  2013-02-04
  4 in total
  3 in total

1.  Time-Varying Mediation of Pharmacological Smoking Cessation Treatments on Smoking Lapse via Craving, Cessation Fatigue, and Negative Mood.

Authors:  Yajnaseni Chakraborti; Donna L Coffman; Megan E Piper
Journal:  Nicotine Tob Res       Date:  2022-10-17       Impact factor: 5.825

2.  Parametric-Regression-Based Causal Mediation Analysis of Binary Outcomes and Binary Mediators: Moving Beyond the Rareness or Commonness of the Outcome.

Authors:  Mariia Samoilenko; Geneviève Lefebvre
Journal:  Am J Epidemiol       Date:  2021-09-01       Impact factor: 5.363

Review 3.  Mediation analysis methods used in observational research: a scoping review and recommendations.

Authors:  Judith J M Rijnhart; Sophia J Lamp; Matthew J Valente; David P MacKinnon; Jos W R Twisk; Martijn W Heymans
Journal:  BMC Med Res Methodol       Date:  2021-10-25       Impact factor: 4.615

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.