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Activity Number: 430 - Challenges and Recent Advances in High-Dimensional Mediation Analysis
Type: Invited
Date/Time: Thursday, August 6, 2020 : 10:00 AM to 11:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #309321
Title: Group Testing in Mediation Analysis
Author(s): Joshua Sampson* and Andriy Derkach and Simina Boca
Companies: National Cancer Institute and Memorial Sloan Kettering Cancer Center and Georgetown University
Keywords: mediation; group testing; post-selection inference

We consider the scenario where there is an exposure, multiple biologically-defined sets of biomarkers, and an outcome. We propose a new two-step procedure that tests if any of the sets of biomarkers mediate the exposure/outcome relationship, while maintaining a prespecified Family-Wise Error Rate (FWER). The first step of the proposed procedure is a screening step that removes all groups that are unlikely to be strongly associated with both the exposure and the outcome. The second step adapts recent advances in post-selection inference to test if there are true mediators in each of the remaining, candidate sets. We use simulation to show that this simple two-step procedure has higher statistical power to detect true mediating sets when compared with existing procedures. We then use our two-step procedure to identify a set of Lysine-related metabolites that potentially mediate the known relationship between increased BMI and the increased risk of ER+ breast cancer in post-menopausal women.

Authors who are presenting talks have a * after their name.

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