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