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