articleThe American StatisticianMar 20, 2019HYBRID OA

Abandon Statistical Significance

BBBlakeley B. McShaneDGDavid GalAGAndrew GelmanCRChristian RobertJLJennifer L. Tackett

Northwestern University · University of Illinois Chicago · +3 more institutions

Indexed inarxivcrossref

Abstract

We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication and more broadly in the biomedical and social sciences as well as how these problems remain unresolved by proposals involving modified p-value thresholds, confidence intervals, and Bayes factors. We then discuss our own proposal, which is to abandon statistical significance. We recommend dropping the NHST paradigm—and the p-value thresholds intrinsic to it—as the default statistical paradigm for research, publication, and discovery in the biomedical and social sciences. Specifically, we propose that the p-value be demoted from its threshold screening role and instead, treated continuously, be considered along…

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795
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Authors

5
  • BB
    Blakeley B. McShaneCorresponding

    Northwestern University

  • DG
    David Gal

    University of Illinois Chicago

  • AG
    Andrew Gelman

    Columbia University

  • CR
    Christian Robert

    Centre de Recherche en Mathématiques de la Décision, Université Paris Dauphine-PSL

  • JL
    Jennifer L. Tackett

    Northwestern University

Topics & keywords

Keywords
  • Statistical hypothesis testing
  • Novelty
  • Null hypothesis
  • Replication (statistics)
  • Bayes' theorem
  • Statistical model
  • Process (computing)
  • Frequentist probability
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