Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing

Side information in addition to the p-values is often available in modern applications of multiple hypothesis testing. Here, the authors develop AdaFDR, a new statistical method for multiple hypothesis testing that adaptively learns the decision threshold and amplifies the discovery power.

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Autores principales: Martin J. Zhang, Fei Xia, James Zou
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/857c63f9248a49b7a4152050747075ac
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spelling oai:doaj.org-article:857c63f9248a49b7a4152050747075ac2021-12-02T17:01:52ZFast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing10.1038/s41467-019-11247-02041-1723https://doaj.org/article/857c63f9248a49b7a4152050747075ac2019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11247-0https://doaj.org/toc/2041-1723Side information in addition to the p-values is often available in modern applications of multiple hypothesis testing. Here, the authors develop AdaFDR, a new statistical method for multiple hypothesis testing that adaptively learns the decision threshold and amplifies the discovery power.Martin J. ZhangFei XiaJames ZouNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Martin J. Zhang
Fei Xia
James Zou
Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing
description Side information in addition to the p-values is often available in modern applications of multiple hypothesis testing. Here, the authors develop AdaFDR, a new statistical method for multiple hypothesis testing that adaptively learns the decision threshold and amplifies the discovery power.
format article
author Martin J. Zhang
Fei Xia
James Zou
author_facet Martin J. Zhang
Fei Xia
James Zou
author_sort Martin J. Zhang
title Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing
title_short Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing
title_full Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing
title_fullStr Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing
title_full_unstemmed Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing
title_sort fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/857c63f9248a49b7a4152050747075ac
work_keys_str_mv AT martinjzhang fastandcovariateadaptivemethodamplifiesdetectionpowerinlargescalemultiplehypothesistesting
AT feixia fastandcovariateadaptivemethodamplifiesdetectionpowerinlargescalemultiplehypothesistesting
AT jameszou fastandcovariateadaptivemethodamplifiesdetectionpowerinlargescalemultiplehypothesistesting
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