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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Dades bibliogràfiques
Autors principals:	Simina M. Boca, Jeffrey T. Leek
Format:	Article
Idioma:	English
Publicat:	PeerJ Inc. 2018-12-01
Col·lecció:	PeerJ
Matèries:	False discovery rates FDR regression Adaptive FDR
Accés en línia:	https://peerj.com/articles/6035.pdf

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