Showing stat.MEShow all
3 papers · 1 filter
stat.ME2026
High-Dimensional Mediation Analysis for Generalized Linear Models Using Bayesian Variable Selection Guided by Mediator Correlation
Youngho Bae, Chanmin Kim, Fenglei Wang +2
High-dimensional mediation analysis aims to identify mediating pathways and to estimate indirect effects linking an exposure to an outcome. In this paper, we propose a Bayesian fra…
stat.ME2025
A nutritionally informed model for Bayesian variable selection with metabolite response variables
Dylan Clark-Boucher, Brent A Coull, Harrison T Reeder +4
Understanding the pathways through which diet affects human metabolism is a central task in nutritional epidemiology. This article proposes novel methodology to identify food items…
stat.ME2024
Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
Youngho Bae, Chanmin Kim, Fenglei Wang +2
In epidemiological research, causal models incorporating potential mediators along a pathway are crucial for understanding how exposures influence health outcomes. This work is mot…