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

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  • Signe M Jensen
  • Hanne Hauger
  • Christian Ritz

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.

Suggested Citation

  • Signe M Jensen & Hanne Hauger & Christian Ritz, 2018. "Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-7, February.
    • Handle: RePEc:plo:pone00:0192857
    DOI: 10.1371/journal.pone.0192857
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    References listed on IDEAS

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