A guide for authors and readers of the American Society for Nutrition Journals on the proper use of P values and strategies that promote transparency and improve research reproducibility
Two questions regarding the scientific literature have become grist for public discussion: 1) what place should P values have in reporting the results of studies? 2) How should the perceived difficulty in replicating the results reported in published studies be addressed? We consider these questions...
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| Veröffentlicht in: | The American journal of clinical nutrition 2021-10, Vol.114 (4), p.1280-1285 |
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| creator | Sorkin, John D Manary, Mark Smeets, Paul AM MacFarlane, Amanda J Astrup, Arne Prigeon, Ronald L Hogans, Beth B Odle, Jack Davis, Teresa A Tucker, Katherine L Duggan, Christopher P Tobias, Deirdre K |
| description | Two questions regarding the scientific literature have become grist for public discussion: 1) what place should P values have in reporting the results of studies? 2) How should the perceived difficulty in replicating the results reported in published studies be addressed? We consider these questions to be 2 sides of the same coin; failing to address them can lead to an incomplete or incorrect message being sent to the reader. If P values (which are derived from the estimate of the effect size and a measure of the precision of the estimate of the effect) are used improperly, for example reporting only significant findings, or reporting P values without account for multiple comparisons, or failing to indicate the number of tests performed, the scientific record can be biased. Moreover, if there is a lack of transparency in the conduct of a study and reporting of study results, it will not be possible to repeat a study in a manner that allows inferences from the original study to be reproduced or to design and conduct a different experiment whose aim is to confirm the original study’s findings. The goal of this article is to discuss how P values can be used in a manner that is consistent with the scientific method, and to increase transparency and reproducibility in the conduct and analysis of nutrition research.
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| doi_str_mv | 10.1093/ajcn/nqab223 |
| format | Article |
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| subjects | Disclosure Editor's Choice Editorial Policies Humans Life Sciences & Biomedicine Nutrition Nutrition & Dietetics Nutrition research Nutritional Sciences P value Periodicals as Topic Publishing - standards Questions reliability Reproducibility Reproducibility of Results Research Design - statistics & numerical data Science & Technology Special strategies Transparency United States |
| title | A guide for authors and readers of the American Society for Nutrition Journals on the proper use of P values and strategies that promote transparency and improve research reproducibility |
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