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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Simina M. Boca, Jeffrey T. Leek
Format:	Artykuł
Język:	English
Wydane:	PeerJ Inc. 2018-12-01
Seria:	PeerJ
Hasła przedmiotowe:	False discovery rates FDR regression Adaptive FDR
Dostęp online:	https://peerj.com/articles/6035.pdf

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