MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.

Scientists from nearly all disciplines face the problem of simultaneously evaluating many hypotheses. Conducting multiple comparisons increases the likelihood that a non-negligible proportion of associations will be false positives, clouding real discoveries. Drawing valid conclusions require taking...

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Autores principales:	Otília Menyhart, Boglárka Weltz, Balázs Győrffy
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/263f61f414544e018ceb151307966ae4
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spelling	oai:doaj.org-article:263f61f414544e018ceb151307966ae42021-12-02T20:10:56ZMultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.1932-620310.1371/journal.pone.0245824https://doaj.org/article/263f61f414544e018ceb151307966ae42021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0245824https://doaj.org/toc/1932-6203Scientists from nearly all disciplines face the problem of simultaneously evaluating many hypotheses. Conducting multiple comparisons increases the likelihood that a non-negligible proportion of associations will be false positives, clouding real discoveries. Drawing valid conclusions require taking into account the number of performed statistical tests and adjusting the statistical confidence measures. Several strategies exist to overcome the problem of multiple hypothesis testing. We aim to summarize critical statistical concepts and widely used correction approaches while also draw attention to frequently misinterpreted notions of statistical inference. We provide a step-by-step description of each multiple-testing correction method with clear examples and present an easy-to-follow guide for selecting the most suitable correction technique. To facilitate multiple-testing corrections, we developed a fully automated solution not requiring programming skills or the use of a command line. Our registration free online tool is available at www.multipletesting.com and compiles the five most frequently used adjustment tools, including the Bonferroni, the Holm (step-down), the Hochberg (step-up) corrections, allows to calculate False Discovery Rates (FDR) and q-values. The current summary provides a much needed practical synthesis of basic statistical concepts regarding multiple hypothesis testing in a comprehensible language with well-illustrated examples. The web tool will fill the gap for life science researchers by providing a user-friendly substitute for command-line alternatives.Otília MenyhartBoglárka WeltzBalázs GyőrffyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0245824 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Otília Menyhart Boglárka Weltz Balázs Győrffy MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.
description	Scientists from nearly all disciplines face the problem of simultaneously evaluating many hypotheses. Conducting multiple comparisons increases the likelihood that a non-negligible proportion of associations will be false positives, clouding real discoveries. Drawing valid conclusions require taking into account the number of performed statistical tests and adjusting the statistical confidence measures. Several strategies exist to overcome the problem of multiple hypothesis testing. We aim to summarize critical statistical concepts and widely used correction approaches while also draw attention to frequently misinterpreted notions of statistical inference. We provide a step-by-step description of each multiple-testing correction method with clear examples and present an easy-to-follow guide for selecting the most suitable correction technique. To facilitate multiple-testing corrections, we developed a fully automated solution not requiring programming skills or the use of a command line. Our registration free online tool is available at www.multipletesting.com and compiles the five most frequently used adjustment tools, including the Bonferroni, the Holm (step-down), the Hochberg (step-up) corrections, allows to calculate False Discovery Rates (FDR) and q-values. The current summary provides a much needed practical synthesis of basic statistical concepts regarding multiple hypothesis testing in a comprehensible language with well-illustrated examples. The web tool will fill the gap for life science researchers by providing a user-friendly substitute for command-line alternatives.
format	article
author	Otília Menyhart Boglárka Weltz Balázs Győrffy
author_facet	Otília Menyhart Boglárka Weltz Balázs Győrffy
author_sort	Otília Menyhart
title	MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.
title_short	MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.
title_full	MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.
title_fullStr	MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.
title_full_unstemmed	MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.
title_sort	multipletesting.com: a tool for life science researchers for multiple hypothesis testing correction.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/263f61f414544e018ceb151307966ae4
work_keys_str_mv	AT otiliamenyhart multipletestingcomatoolforlifescienceresearchersformultiplehypothesistestingcorrection AT boglarkaweltz multipletestingcomatoolforlifescienceresearchersformultiplehypothesistestingcorrection AT balazsgyorffy multipletestingcomatoolforlifescienceresearchersformultiplehypothesistestingcorrection
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MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.

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