Adaptive procedures for directional false discovery rate control

Fuente: arXiv
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Autores principales: Leung, Dennis, Tran, Ninh
Formato: Preprint
Publicado: 2022
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author Leung, Dennis
Tran, Ninh
author_facet Leung, Dennis
Tran, Ninh
contents In multiple hypothesis testing, it is well known that adaptive procedures can enhance power via incorporating information about the number of true nulls present. Under independence, we establish that two adaptive false discovery rate (FDR) methods, upon augmenting sign declarations, also offer directional false discovery rate (FDR$_\text{dir}$) control in the strong sense. Such FDR$_\text{dir}$ controlling properties are appealing because adaptive procedures have the greatest potential to reap substantial gain in power when the underlying parameter configurations contain little to no true nulls, which are precisely settings where the FDR$_\text{dir}$ is an arguably more meaningful error rate to be controlled than the FDR.
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id arxiv_https___arxiv_org_abs_2201_05828
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Adaptive procedures for directional false discovery rate control
Leung, Dennis
Tran, Ninh
Methodology
In multiple hypothesis testing, it is well known that adaptive procedures can enhance power via incorporating information about the number of true nulls present. Under independence, we establish that two adaptive false discovery rate (FDR) methods, upon augmenting sign declarations, also offer directional false discovery rate (FDR$_\text{dir}$) control in the strong sense. Such FDR$_\text{dir}$ controlling properties are appealing because adaptive procedures have the greatest potential to reap substantial gain in power when the underlying parameter configurations contain little to no true nulls, which are precisely settings where the FDR$_\text{dir}$ is an arguably more meaningful error rate to be controlled than the FDR.
title Adaptive procedures for directional false discovery rate control
topic Methodology
url https://arxiv.org/abs/2201.05828