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False discovery control with p-value weighting

Open access
Genovese, Christopher R., Roeder, Kathryn, Wasserman, Larry·2006·Biometrika

Abstract

We present a method for multiple hypothesis testing that maintains control of the false discovery rate while incorporating prior information about the hypotheses. The prior information takes the form of p-value weights. If the assignment of weights is positively associated with the null hypotheses being false, the procedure improves power, except in cases where power is already near one. Even if the assignment of weights is poor, power is only reduced slightly, as long as the weights are not too large. We also provide a similar method for controlling false discovery exceedance.

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Metadata

Authors
Genovese, C. R., Roeder, K., & Wasserman, L.
Venue
Biometrika
Published
2006-09-01
Volume
93
Issue
3
Pages
509-524
ISSN
  • 0006-3444 (ISSN-L)
  • 1464-3510
OpenAlex
W2010348162
Cited by
320
References
1
FWCI
12.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: False discovery control with p-value weighting. https://app.cochat.ai/papers/10.1093/biomet/93.3.509
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Genovese, C. R., Roeder, K., & Wasserman, L. (2006). False discovery control with p-value weighting. Biometrika. https://doi.org/10.1093/biomet/93.3.509

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