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Why Most Published Research Findings Are False: Problems in the Analysis

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  • Steven Goodman
  • Sander Greenland

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  • 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.
    • Handle: RePEc:plo:pmed00:0040168
    DOI: 10.1371/journal.pmed.0040168
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    Cited by:

    1. Jesper W. Schneider, 2015. "Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 411-432, January.
    2. 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.
    3. Mayo, Deborah & Morey, Richard Donald, 2017. "A Poor Prognosis for the Diagnostic Screening Critique of Statistical Tests," OSF Preprints ps38b, Center for Open Science.
    4. Lars Ole Schwen & Sabrina Rueschenbaum, 2018. "Ten quick tips for getting the most scientific value out of numerical data," PLOS Computational Biology, Public Library of Science, vol. 14(10), pages 1-21, October.
    5. Andrew Y. Chen & Tom Zimmermann, 2022. "Publication Bias in Asset Pricing Research," Papers 2209.13623, arXiv.org, revised Sep 2023.

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