Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology
Research output: Contribution to journal › Journal article › Research › peer-review
Documents
- Jensen et al_P L o S One_2018_Vol 13(2)_e0192857
Final published version, 878 KB, PDF document
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.
Original language | English |
---|---|
Article number | e0192857 |
Journal | P L o S One |
Volume | 13 |
Issue number | 2 |
Number of pages | 7 |
ISSN | 1932-6203 |
DOIs | |
Publication status | Published - 2018 |
Number of downloads are based on statistics from Google Scholar and www.ku.dk
ID: 189867671