New metrics for multiple testing with correlated outcomes

When investigators test multiple outcomes or fit different model specifications to the same dataset, as in multiverse analyses, the resulting test statistics may be correlated. We propose new multiple-testing metrics that compare the observed number of hypothesis test rejections (θ^) at an unpenaliz...

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Bibliographic Details
Main Authors: Maya B. Mathur, Tyler J. VanderWeele
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fams.2023.1151314/full