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...

書誌詳細
主要な著者:	Simina M. Boca, Jeffrey T. Leek
フォーマット:	論文
言語:	English
出版事項:	PeerJ Inc. 2018-12-01
シリーズ:	PeerJ
主題:	False discovery rates FDR regression Adaptive FDR
オンライン･アクセス:	https://peerj.com/articles/6035.pdf

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