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Most Published Research Findings Are False—But a Little Replication Goes a Long Way

Author

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  • Ramal Moonesinghe
  • Muin J Khoury
  • A Cecile J W Janssens

Abstract

While the authors agree with John Ioannidis that "most research findings are false," here they show that replication of research findings enhances the positive predictive value of research findings being true.

Suggested Citation

  • Ramal Moonesinghe & Muin J Khoury & A Cecile J W Janssens, 2007. "Most Published Research Findings Are False—But a Little Replication Goes a Long Way," PLOS Medicine, Public Library of Science, vol. 4(2), pages 1-4, February.
    • Handle: RePEc:plo:pmed00:0040028
    DOI: 10.1371/journal.pmed.0040028
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    Cited by:

    1. Armel Lefebvre & Marco Spruit, 2023. "Laboratory Forensics for Open Science Readiness: an Investigative Approach to Research Data Management," Information Systems Frontiers, Springer, vol. 25(1), pages 381-399, February.
    2. 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.
    3. Christopher Allen & David M A Mehler, 2019. "Open science challenges, benefits and tips in early career and beyond," PLOS Biology, Public Library of Science, vol. 17(5), pages 1-14, May.
    4. Florian Englmaier & Andreas Roider & Uwe Sunde, 2017. "The Role of Communication of Performance Schemes: Evidence from a Field Experiment," Management Science, INFORMS, vol. 63(12), pages 4061-4080, December.

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