Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Dokumenter
- Jensen et al_P L o S One_2018_Vol 13(2)_e0192857
Forlagets udgivne version, 878 KB, PDF-dokument
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.
Originalsprog | Engelsk |
---|---|
Artikelnummer | e0192857 |
Tidsskrift | P L o S One |
Vol/bind | 13 |
Udgave nummer | 2 |
Antal sider | 7 |
ISSN | 1932-6203 |
DOI | |
Status | Udgivet - 2018 |
Bibliografisk note
CURIS 2018 NEXS 069
Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk
ID: 189867671