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The False Positive Risk: A Proposal Concerning What to Do About p-Values

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  • David Colquhoun

Abstract

It is widely acknowledged that the biomedical literature suffers from a surfeit of false positive results. Part of the reason for this is the persistence of the myth that observation of p

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  • David Colquhoun, 2019. "The False Positive Risk: A Proposal Concerning What to Do About p-Values," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 192-201, March.
    • Handle: RePEc:taf:amstat:v:73:y:2019:i:s1:p:192-201
    DOI: 10.1080/00031305.2018.1529622
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    Cited by:

    1. Gunter, Ulrich & Önder, Irem & Smeral, Egon, 2019. "Scientific value of econometric tourism demand studies," Annals of Tourism Research, Elsevier, vol. 78(C), pages 1-1.
    2. Sam Sims & Jake Anders & Matthew Inglis & Hugues Lortie-Forgues, 2020. "Quantifying 'promising trials bias' in randomized controlled trials in education," CEPEO Working Paper Series 20-16, UCL Centre for Education Policy and Equalising Opportunities, revised Nov 2020.
    3. Fabian Busch & Robert Fenge & Carsten Ochsen, 2021. "Do Firms Hire More Older Workers? Evidence from Germany," CESifo Working Paper Series 9219, CESifo.
    4. Leonhard Held, 2020. "A new standard for the analysis and design of replication studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 431-448, February.
    5. Glenn Shafer, 2021. "Testing by betting: A strategy for statistical and scientific communication," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 407-431, April.
    6. Sadri, Arash, 2022. "The Ultimate Cause of the “Reproducibility Crisis”: Reductionist Statistics," MetaArXiv yxba5, Center for Open Science.

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