Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology

Mediation analysis is often based on fitting two models, one including and another excluding a potential mediator, and subsequently quantify the mediated effects by combining parameter estimates from these two models. Standard errors of such derived parameters may be approximated using the delta met...

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Detalles Bibliográficos
Autores principales: Jensen, Signe M., Hauger, Hanne, Ritz, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809055/
https://www.ncbi.nlm.nih.gov/pubmed/29432493
http://dx.doi.org/10.1371/journal.pone.0192857
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author Jensen, Signe M.
Hauger, Hanne
Ritz, Christian
author_facet Jensen, Signe M.
Hauger, Hanne
Ritz, Christian
author_sort Jensen, Signe M.
collection PubMed
description Mediation analysis is often based on fitting two models, one including and another excluding a potential mediator, and subsequently quantify the mediated effects by combining parameter estimates from these two models. Standard errors of such derived parameters may be approximated using the delta method. For a study evaluating a treatment effect on visual acuity, a binary outcome, we demonstrate how mediation analysis may conveniently be carried out by means of marginally fitted logistic regression models in combination with the delta method. Several metrics of mediation are estimated and results are compared to findings using existing methods.
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spelling pubmed-58090552018-02-28 Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology Jensen, Signe M. Hauger, Hanne Ritz, Christian PLoS One Research Article Mediation analysis is often based on fitting two models, one including and another excluding a potential mediator, and subsequently quantify the mediated effects by combining parameter estimates from these two models. Standard errors of such derived parameters may be approximated using the delta method. For a study evaluating a treatment effect on visual acuity, a binary outcome, we demonstrate how mediation analysis may conveniently be carried out by means of marginally fitted logistic regression models in combination with the delta method. Several metrics of mediation are estimated and results are compared to findings using existing methods. Public Library of Science 2018-02-12 /pmc/articles/PMC5809055/ /pubmed/29432493 http://dx.doi.org/10.1371/journal.pone.0192857 Text en © 2018 Jensen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jensen, Signe M.
Hauger, Hanne
Ritz, Christian
Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology
title Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology
title_full Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology
title_fullStr Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology
title_full_unstemmed Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology
title_short Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology
title_sort mediation analysis for logistic regression with interactions: application of a surrogate marker in ophthalmology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809055/
https://www.ncbi.nlm.nih.gov/pubmed/29432493
http://dx.doi.org/10.1371/journal.pone.0192857
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