Invited Editorials
15 April 2022
Vol. 1 No. 1 (2022)
Moving beyond p-value
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Scientific literature is overflowing of significance testing and p-values. P-value states how discordant the observed finding is with a null hypothesis. P<0.05 indicates that an association greater than that detected would happen less than 5% of the time under a null hypothesis of no association [...].
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Citations
Wasserstein R, Lazar N. The ASA’s statement on p-values: context, process, and purpose. Am Stat 2016;70:129-33 DOI: https://doi.org/10.1080/00031305.2016.1154108
Krueger JI, Heck PR. Putting the p-value in its place. Am Stat 2019;73:122-8. DOI: https://doi.org/10.1080/00031305.2018.1470033
Statistical inference in the 21st Century: a world beyond p<0.05. Am Stat 2019;73.
Wasserstein RL, Schirm AL, Lazar NA. Moving to a world beyond p<0.05. Am Stat 2019;73:1-19. DOI: https://doi.org/10.1080/00031305.2019.1583913
Harrington D, D'Agostino RB Sr, Gatsonis C, et al. New guidelines for statistical reporting in the journal. N Engl J Med 2019;381:285-6. DOI: https://doi.org/10.1056/NEJMe1906559
Amrhein V, Greenland S, McShane B. Retire statistical significance. Nature 2019;567:305-7 DOI: https://doi.org/10.1038/d41586-019-00857-9
How to Cite
Moving beyond p-value. (2022). Bleeding, Thrombosis and Vascular Biology, 1(1). https://doi.org/10.4081/btvb.2022.30
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