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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...

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Autores principales: Frank, Oliver, Tam, CW Michael, Rhee, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: NPS MedicineWise 2021
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
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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
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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
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