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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. 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.
    3. 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.
    4. 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.
    5. Fabian Busch & Robert Fenge & Carsten Ochsen, 2021. "Do Firms Hire More Older Workers? Evidence from Germany," CESifo Working Paper Series 9219, CESifo.
    6. Sadri, Arash, 2022. "The Ultimate Cause of the “Reproducibility Crisis”: Reductionist Statistics," MetaArXiv yxba5, Center for Open Science.

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