High-dimensional quantile mediation analysis with application to a birth cohort study of mother-newborn pairs.
Bioinformatics
; 40(2)2024 02 01.
Article
en En
| MEDLINE
| ID: mdl-38290773
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 DNA methylation on the relationship between maternal smoking and offspring birthweight. AVAILABILITY AND IMPLEMENTATION Our method offers a publicly available and user-friendly function qHIMA(), which can be accessed through the R package HIMA at https//CRAN.R-project.org/package=HIMA.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Análisis de Mediación
/
Madres
Tipo de estudio:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
Límite:
Female
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Humans
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Newborn
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2024
Tipo del documento:
Article
País de afiliación:
China