A Uniform Improvement of the Benjamini-Hochberg Procedure using e-Closure

Fuente: arXiv
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Main Author: Goeman, Jelle
Format: Preprint
Published: 2026
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author Goeman, Jelle
author_facet Goeman, Jelle
contents This paper presents closed BH, a uniform improvement of the False Discovery Rate controlling method of Benjamini and Hochberg (BH). Closed BH is valid under the same assumption of Positive Regression Dependency on a Subset (PRDS) as BH. As a uniform improvement, closed BH never rejects fewer hypotheses than BH, but it may reject quite a few more. An increase in power is observed especially when the number of false null hypotheses is large. The novel method is constructed using the e-Closure principle, a recently derived general principle for multiple testing.
format Preprint
id arxiv_https___arxiv_org_abs_2606_01854
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A Uniform Improvement of the Benjamini-Hochberg Procedure using e-Closure
Goeman, Jelle
Methodology
This paper presents closed BH, a uniform improvement of the False Discovery Rate controlling method of Benjamini and Hochberg (BH). Closed BH is valid under the same assumption of Positive Regression Dependency on a Subset (PRDS) as BH. As a uniform improvement, closed BH never rejects fewer hypotheses than BH, but it may reject quite a few more. An increase in power is observed especially when the number of false null hypotheses is large. The novel method is constructed using the e-Closure principle, a recently derived general principle for multiple testing.
title A Uniform Improvement of the Benjamini-Hochberg Procedure using e-Closure
topic Methodology
url https://arxiv.org/abs/2606.01854