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The World of Research Has Gone Berserk: Modeling the Consequences of Requiring “Greater Statistical Stringency” for Scientific Publication

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  • Harlan Campbell
  • Paul Gustafson

Abstract

In response to growing concern about the reliability and reproducibility of published science, researchers have proposed adopting measures of “greater statistical stringency,” including suggestions to require larger sample sizes and to lower the highly criticized “p

Suggested Citation

  • Harlan Campbell & Paul Gustafson, 2019. "The World of Research Has Gone Berserk: Modeling the Consequences of Requiring “Greater Statistical Stringency” for Scientific Publication," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 358-373, March.
    • Handle: RePEc:taf:amstat:v:73:y:2019:i:s1:p:358-373
    DOI: 10.1080/00031305.2018.1555101
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    References listed on IDEAS

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    1. John P A Ioannidis, 2007. "Why Most Published Research Findings Are False: Author's Reply to Goodman and Greenland," PLOS Medicine, Public Library of Science, vol. 4(6), pages 1-2, June.
    2. Steven Goodman & Sander Greenland, 2007. "Why Most Published Research Findings Are False: Problems in the Analysis," PLOS Medicine, Public Library of Science, vol. 4(4), pages 1-1, April.
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    Cited by:

    1. Oliver Braganza, 2020. "A simple model suggesting economically rational sample-size choice drives irreproducibility," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-19, March.

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