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Insights in Hypothesis Testing and Making Decisions in Biomedical Research

It is a fact that p values are commonly used for inference in biomedical and other social fields of research. Unfortunately, the role of p value is very often misused and misinterpreted; that is why it has been recommended the use of resampling methods, like the bootstrap method, to calculate the co...

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Detalles Bibliográficos
Autores principales: Sacha, Varin, Panagiotakos, Demosthenes B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054503/
https://www.ncbi.nlm.nih.gov/pubmed/27733868
http://dx.doi.org/10.2174/1874192401610010196
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author Sacha, Varin
Panagiotakos, Demosthenes B.
author_facet Sacha, Varin
Panagiotakos, Demosthenes B.
author_sort Sacha, Varin
collection PubMed
description It is a fact that p values are commonly used for inference in biomedical and other social fields of research. Unfortunately, the role of p value is very often misused and misinterpreted; that is why it has been recommended the use of resampling methods, like the bootstrap method, to calculate the confidence interval, which provides more robust results for inference than does p value. In this review a discussion is made about the use of p values through hypothesis testing and its alternatives using resampling methods to develop confidence intervals of the tested statistic or effect measure.
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spelling pubmed-50545032016-10-12 Insights in Hypothesis Testing and Making Decisions in Biomedical Research Sacha, Varin Panagiotakos, Demosthenes B. Open Cardiovasc Med J Article It is a fact that p values are commonly used for inference in biomedical and other social fields of research. Unfortunately, the role of p value is very often misused and misinterpreted; that is why it has been recommended the use of resampling methods, like the bootstrap method, to calculate the confidence interval, which provides more robust results for inference than does p value. In this review a discussion is made about the use of p values through hypothesis testing and its alternatives using resampling methods to develop confidence intervals of the tested statistic or effect measure. Bentham Open 2016-09-30 /pmc/articles/PMC5054503/ /pubmed/27733868 http://dx.doi.org/10.2174/1874192401610010196 Text en © Sacha et al.; Licensee Bentham Open https://creativecommons.org/licenses/by/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Sacha, Varin
Panagiotakos, Demosthenes B.
Insights in Hypothesis Testing and Making Decisions in Biomedical Research
title Insights in Hypothesis Testing and Making Decisions in Biomedical Research
title_full Insights in Hypothesis Testing and Making Decisions in Biomedical Research
title_fullStr Insights in Hypothesis Testing and Making Decisions in Biomedical Research
title_full_unstemmed Insights in Hypothesis Testing and Making Decisions in Biomedical Research
title_short Insights in Hypothesis Testing and Making Decisions in Biomedical Research
title_sort insights in hypothesis testing and making decisions in biomedical research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054503/
https://www.ncbi.nlm.nih.gov/pubmed/27733868
http://dx.doi.org/10.2174/1874192401610010196
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