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Dataset Information

High-dimensional quantile mediation analysis with application to a birth cohort study of mother-newborn pairs.


ABSTRACT:

Motivation

There has been substantial recent interest in developing methodology for high-dimensional mediation analysis. Yet, the majority of mediation statistical methods lean heavily on mean regression, which limits their ability to fully capture the complex mediating effects across the outcome distribution. To bridge this gap, we propose a novel approach for selecting and testing mediators throughout the full range of the outcome distribution spectrum.

Results

The proposed high-dimensional quantile mediation model provides a comprehensive insight into how potential mediators impact outcomes via their mediation pathways. This method's efficacy is demonstrated through extensive simulations. The study presents a real-world data application examining the mediating effects of

SUBMITTER: Zhang H 

PROVIDER: S-EPMC10873903 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature