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The debate about p-values

The p-value is the most widely used statistical concept in biomedical research. Recently, there are controversies over its utility and over the possible relationship between p-value misuse and the relatively high proportion of published medical research that cannot be replicated. In this paper, we i...

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Detalles Bibliográficos
Autores principales: LU, Ying, BELITSKAYA-LEVY, Ilana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shanghai Municipal Bureau of Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858512/
https://www.ncbi.nlm.nih.gov/pubmed/27199532
http://dx.doi.org/10.11919/j.issn.1002-0829.216027
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author LU, Ying
BELITSKAYA-LEVY, Ilana
author_facet LU, Ying
BELITSKAYA-LEVY, Ilana
author_sort LU, Ying
collection PubMed
description The p-value is the most widely used statistical concept in biomedical research. Recently, there are controversies over its utility and over the possible relationship between p-value misuse and the relatively high proportion of published medical research that cannot be replicated. In this paper, we introduce the p-value in layman’s terms and explain its randomness and limitations. However, we also point out that the available alternatives to p-value suffer similar limitations. We conclude that using p values is a valid way to test the null and alternative hypotheses in clinical trials. However, using the p-value from a single statistical test to judge the scientific merit of a research project is a misuse of the p-value; the results of inference tests using p-values need to be integrated with secondary results and other data to arrive at clinically valid conclusions. Understanding the variability and limitations of the p-value is important for the interpretation of statistical results in research studies.
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spelling pubmed-48585122016-05-19 The debate about p-values LU, Ying BELITSKAYA-LEVY, Ilana Shanghai Arch Psychiatry Biostatistics in Psychiatry (30) The p-value is the most widely used statistical concept in biomedical research. Recently, there are controversies over its utility and over the possible relationship between p-value misuse and the relatively high proportion of published medical research that cannot be replicated. In this paper, we introduce the p-value in layman’s terms and explain its randomness and limitations. However, we also point out that the available alternatives to p-value suffer similar limitations. We conclude that using p values is a valid way to test the null and alternative hypotheses in clinical trials. However, using the p-value from a single statistical test to judge the scientific merit of a research project is a misuse of the p-value; the results of inference tests using p-values need to be integrated with secondary results and other data to arrive at clinically valid conclusions. Understanding the variability and limitations of the p-value is important for the interpretation of statistical results in research studies. Shanghai Municipal Bureau of Publishing 2015-12-25 /pmc/articles/PMC4858512/ /pubmed/27199532 http://dx.doi.org/10.11919/j.issn.1002-0829.216027 Text en Copyright © 2016 by Shanghai Municipal Bureau of Publishing http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Biostatistics in Psychiatry (30)
LU, Ying
BELITSKAYA-LEVY, Ilana
The debate about p-values
title The debate about p-values
title_full The debate about p-values
title_fullStr The debate about p-values
title_full_unstemmed The debate about p-values
title_short The debate about p-values
title_sort debate about p-values
topic Biostatistics in Psychiatry (30)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858512/
https://www.ncbi.nlm.nih.gov/pubmed/27199532
http://dx.doi.org/10.11919/j.issn.1002-0829.216027
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