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The Substitute for -Values

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  • William M. Briggs

Abstract

If it was not obvious before, after reading McShane and Gal, the conclusion is that p-values should be proscribed. There are no good uses for them; indeed, every use either violates frequentist theory, is fallacious, or is based on a misunderstanding. A replacement for p-values is suggested, based on predictive models.

Suggested Citation

  • William M. Briggs, 2017. "The Substitute for -Values," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 897-898, July.
    • Handle: RePEc:taf:jnlasa:v:112:y:2017:i:519:p:897-898
    DOI: 10.1080/01621459.2017.1311264
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    Cited by:

    1. Eleni Verykouki & Christos T. Nakas, 2023. "Adaptations on the Use of p -Values for Statistical Inference: An Interpretation of Messages from Recent Public Discussions," Stats, MDPI, vol. 6(2), pages 1-13, April.
    2. Blakeley B. McShane & David Gal, 2017. "Rejoinder: Statistical Significance and the Dichotomization of Evidence," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 904-908, July.
    3. Jesper W. Schneider, 2018. "Response to commentary on “Is NHST logically flawed”," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2193-2194, September.

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