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.
In: P L o S One, Vol. 13, No. 2, e0192857, 2018.Research output: Contribution to journal › Journal article › Research › peer-review
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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