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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0245824 |
| _version_ | 1811260716949176320 |
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| author | Otília Menyhart Boglárka Weltz Balázs Győrffy |
| author_facet | Otília Menyhart Boglárka Weltz Balázs Győrffy |
| author_sort | Otília Menyhart |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-12T18:50:47Z |
| format | Article |
| id | doaj.art-263f61f414544e018ceb151307966ae4 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T18:50:47Z |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-263f61f414544e018ceb151307966ae42022-12-22T03:20:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01166e024582410.1371/journal.pone.0245824MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.Otília MenyhartBoglárka WeltzBalázs GyőrffyScientists 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.https://doi.org/10.1371/journal.pone.0245824 |
| spellingShingle | Otília Menyhart Boglárka Weltz Balázs Győrffy MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction. PLoS ONE |
| title | 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_short | 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 |
| url | https://doi.org/10.1371/journal.pone.0245824 |
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