FWER and FDR control when testing multiple mediators.
Ontology highlight
ABSTRACT: Motivation:The biological pathways linking exposures and disease risk are often poorly understood. To gain insight into these pathways, studies may try to identify biomarkers that mediate the exposure/disease relationship. Such studies often simultaneously test hundreds or thousands of biomarkers. Results:We consider a set of m biomarkers and a corresponding set of null hypotheses, where the jth null hypothesis states that biomarker j does not mediate the exposure/disease relationship. We propose a Multiple Comparison Procedure (MCP) that rejects a set of null hypotheses or, equivalently, identifies a set of mediators, while asymptotically controlling the Family-Wise Error Rate (FWER) or False Discovery Rate (FDR). We use simulations to show that, compared to currently available methods, o
SUBMITTER: Sampson JN
PROVIDER: S-EPMC6355102 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
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