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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783299524007034880 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5809055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT jensensignem mediationanalysisforlogisticregressionwithinteractionsapplicationofasurrogatemarkerinophthalmology AT haugerhanne mediationanalysisforlogisticregressionwithinteractionsapplicationofasurrogatemarkerinophthalmology AT ritzchristian mediationanalysisforlogisticregressionwithinteractionsapplicationofasurrogatemarkerinophthalmology |