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

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Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology. / Jensen, Signe Marie; Hauger, Hanne; Ritz, Christian.

I: P L o S One, Bind 13, Nr. 2, e0192857, 2018.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Jensen, SM, Hauger, H & Ritz, C 2018, 'Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology', P L o S One, bind 13, nr. 2, e0192857. https://doi.org/10.1371/journal.pone.0192857

APA

Jensen, S. M., Hauger, H., & Ritz, C. (2018). Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology. P L o S One, 13(2), [e0192857]. https://doi.org/10.1371/journal.pone.0192857

Vancouver

Jensen SM, Hauger H, Ritz C. Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology. P L o S One. 2018;13(2). e0192857. https://doi.org/10.1371/journal.pone.0192857

Author

Jensen, Signe Marie ; Hauger, Hanne ; Ritz, Christian. / Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology. I: P L o S One. 2018 ; Bind 13, Nr. 2.

Bibtex

@article{293cf500118b466e996f03febf5c219a,
title = "Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology",
abstract = "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.",
author = "Jensen, {Signe Marie} and Hanne Hauger and Christian Ritz",
note = "CURIS 2018 NEXS 069",
year = "2018",
doi = "10.1371/journal.pone.0192857",
language = "English",
volume = "13",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "2",

}

RIS

TY - JOUR

T1 - Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology

AU - Jensen, Signe Marie

AU - Hauger, Hanne

AU - Ritz, Christian

N1 - CURIS 2018 NEXS 069

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1371/journal.pone.0192857

DO - 10.1371/journal.pone.0192857

M3 - Journal article

C2 - 29432493

VL - 13

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 2

M1 - e0192857

ER -

ID: 189867671