Common pitfalls in statistical analysis: The perils of multiple testing

Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding. In this article, we look at the consequences...

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Detalles Bibliográficos
Autores principales: Ranganathan, Priya, Pramesh, C. S., Buyse, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Statistics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4840791/
https://www.ncbi.nlm.nih.gov/pubmed/27141478
http://dx.doi.org/10.4103/2229-3485.179436
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author Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
author_facet Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
author_sort Ranganathan, Priya
collection PubMed
description Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding. In this article, we look at the consequences of multiple testing and explore various methods to deal with this issue.
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spelling pubmed-48407912016-05-02 Common pitfalls in statistical analysis: The perils of multiple testing Ranganathan, Priya Pramesh, C. S. Buyse, Marc Perspect Clin Res Statistics Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding. In this article, we look at the consequences of multiple testing and explore various methods to deal with this issue. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4840791/ /pubmed/27141478 http://dx.doi.org/10.4103/2229-3485.179436 Text en Copyright: © Perspectives in Clinical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Statistics
Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
Common pitfalls in statistical analysis: The perils of multiple testing
title Common pitfalls in statistical analysis: The perils of multiple testing
title_full Common pitfalls in statistical analysis: The perils of multiple testing
title_fullStr Common pitfalls in statistical analysis: The perils of multiple testing
title_full_unstemmed Common pitfalls in statistical analysis: The perils of multiple testing
title_short Common pitfalls in statistical analysis: The perils of multiple testing
title_sort common pitfalls in statistical analysis: the perils of multiple testing
topic Statistics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4840791/
https://www.ncbi.nlm.nih.gov/pubmed/27141478
http://dx.doi.org/10.4103/2229-3485.179436
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