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Is it time to stop using statistical significance?
The important first step in the critical appraisal of a randomised trial is not an evaluation of the statistical analyses. The most important aspect to consider when reviewing a study of a new drug is the appropriateness and quality of the trial design and methods The next most important aspect is t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
NPS MedicineWise
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900272/ https://www.ncbi.nlm.nih.gov/pubmed/33664545 http://dx.doi.org/10.18773/austprescr.2020.074 |
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author | Frank, Oliver Tam, CW Michael Rhee, Joel |
author_facet | Frank, Oliver Tam, CW Michael Rhee, Joel |
author_sort | Frank, Oliver |
collection | PubMed |
description | The important first step in the critical appraisal of a randomised trial is not an evaluation of the statistical analyses. The most important aspect to consider when reviewing a study of a new drug is the appropriateness and quality of the trial design and methods The next most important aspect is the effect size of different treatments and its clinical significance. Rather than reporting statistical significance, studies should report the difference between treatments and its precision Over-reliance on statistical significance and p values may lead to incorrect conclusions. Trial reports about drugs should therefore avoid the term statistical significance and quote p values with caution |
format | Online Article Text |
id | pubmed-7900272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | NPS MedicineWise |
record_format | MEDLINE/PubMed |
spelling | pubmed-79002722021-03-03 Is it time to stop using statistical significance? Frank, Oliver Tam, CW Michael Rhee, Joel Aust Prescr Article The important first step in the critical appraisal of a randomised trial is not an evaluation of the statistical analyses. The most important aspect to consider when reviewing a study of a new drug is the appropriateness and quality of the trial design and methods The next most important aspect is the effect size of different treatments and its clinical significance. Rather than reporting statistical significance, studies should report the difference between treatments and its precision Over-reliance on statistical significance and p values may lead to incorrect conclusions. Trial reports about drugs should therefore avoid the term statistical significance and quote p values with caution NPS MedicineWise 2021-02-01 2021-02 /pmc/articles/PMC7900272/ /pubmed/33664545 http://dx.doi.org/10.18773/austprescr.2020.074 Text en (c) NPS MedicineWise http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (CC BY-NC-ND) 4.0 License. |
spellingShingle | Article Frank, Oliver Tam, CW Michael Rhee, Joel Is it time to stop using statistical significance? |
title | Is it time to stop using statistical significance? |
title_full | Is it time to stop using statistical significance? |
title_fullStr | Is it time to stop using statistical significance? |
title_full_unstemmed | Is it time to stop using statistical significance? |
title_short | Is it time to stop using statistical significance? |
title_sort | is it time to stop using statistical significance? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900272/ https://www.ncbi.nlm.nih.gov/pubmed/33664545 http://dx.doi.org/10.18773/austprescr.2020.074 |
work_keys_str_mv | AT frankoliver isittimetostopusingstatisticalsignificance AT tamcwmichael isittimetostopusingstatisticalsignificance AT rheejoel isittimetostopusingstatisticalsignificance |