Mediation Analysis of High-Dimensional Exposures and Mediators

Xincheng Li Co-Author
Northwestern University
 
Hao Zheng Co-Author
University of Louisville
 
Matthew Cave Co-Author
University of Louisville
 
Maiying Kong Co-Author
University of Louisville
 
Hongmei Jiang Co-Author
Northwestern University
 
Xincheng Li Speaker
Northwestern University
 
Thursday, Aug 7: 9:15 AM - 9:35 AM
Topic-Contributed Paper Session 
Music City Center 
Mediation analysis has been instrumental in uncovering the pathways through which exposure variables impact health outcomes via intermediate variables, or mediators, in environmental studies. When dealing with numerous environmental exposures, such as chemical mixtures or pollutants, alongside multiple potential mediators like metabolites, advanced methodologies are required to effectively disentangle direct and indirect effects. In this paper, we propose a novel method designed for this purpose and evaluate its performance against existing approaches through simulation studies and an application to real-world data.

Keywords

mediation analysis

high dimensional mediation