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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai Municipal Bureau of Publishing
2015
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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. |
format | Online Article Text |
id | pubmed-4858512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Shanghai Municipal Bureau of Publishing |
record_format | MEDLINE/PubMed |
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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