A direct approach to estimating false discovery rates conditional on covariates

A direct approach to estimating false discovery rates conditional on covariates

Modern scientific studies from many diverse areas of research abound with multiple hypothesis testing concerns. The false discovery rate (FDR) is one of the most commonly used approaches for measuring and controlling error rates when performing multiple tests. Adaptive FDRs rely on an estimate of th...

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Bibliografische gegevens
Hoofdauteurs:	Simina M. Boca, Jeffrey T. Leek
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	PeerJ Inc. 2018-12-01
Reeks:	PeerJ
Onderwerpen:	False discovery rates FDR regression Adaptive FDR
Online toegang:	https://peerj.com/articles/6035.pdf

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