MELODY: Mediation Analysis in Logistic Regression for High-Dimensional Mediators and a Binary Outcome.

ABSTRACT: Mediation analysis is a pivotal tool for elucidating the indirect effect of an environmental factor or treatment on disease through potentially high-dimensional omics data, such as gene expression profiles. However, traditional mediation analysis methods tailored for binary outcomes often rely on the rare disease assumption in logistic regression and provide inadequate measures of total mediation effect when multiple mediators have effects in different directions. In this paper, we develop a MEdiation analysis framework in LOgistic regression for high-Dimensional mediators and a binarY outcome (MELODY). It leverages a second-moment-based measure analogous to the R2${R}^{2}$ for linear models to quantify the total mediation effect. We also develop a variable selection procedure for high-dim

SUBMITTER: Chi S 

PROVIDER: S-EPMC12820538 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature