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How to Make More Published Research True

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  • John P A Ioannidis

Abstract

: In a 2005 paper that has been accessed more than a million times, John Ioannidis explained why most published research findings were false. Here he revisits the topic, this time to address how to improve matters.

Suggested Citation

  • John P A Ioannidis, 2014. "How to Make More Published Research True," PLOS Medicine, Public Library of Science, vol. 11(10), pages 1-6, October.
    • Handle: RePEc:plo:pmed00:1001747
    DOI: 10.1371/journal.pmed.1001747
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    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. Johnson, Sarah C. & Cavallaro, Francesca L. & Leon, David A., 2017. "A systematic review of allostatic load in relation to socioeconomic position: Poor fidelity and major inconsistencies in biomarkers employed," Social Science & Medicine, Elsevier, vol. 192(C), pages 66-73.
    2. Stefan Stieglitz & Christian Meske & Björn Ross & Milad Mirbabaie, 2020. "Going Back in Time to Predict the Future - The Complex Role of the Data Collection Period in Social Media Analytics," Information Systems Frontiers, Springer, vol. 22(2), pages 395-409, April.
    3. Denes Szucs & John P A Ioannidis, 2017. "Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature," PLOS Biology, Public Library of Science, vol. 15(3), pages 1-18, March.
    4. Peter Van Schuerbeek & Chris Baeken & Johan De Mey, 2016. "The Heterogeneity in Retrieved Relations between the Personality Trait ‘Harm Avoidance’ and Gray Matter Volumes Due to Variations in the VBM and ROI Labeling Processing Settings," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-15, April.
    5. Ilya Plyusnin & Liisa Holm & Petri Törönen, 2019. "Novel comparison of evaluation metrics for gene ontology classifiers reveals drastic performance differences," PLOS Computational Biology, Public Library of Science, vol. 15(11), pages 1-27, November.
    6. Kiri, Bralind & Lacetera, Nicola & Zirulia, Lorenzo, 2018. "Above a swamp: A theory of high-quality scientific production," Research Policy, Elsevier, vol. 47(5), pages 827-839.
    7. Luke Holman & Devi Stuart-Fox & Cindy E Hauser, 2018. "The gender gap in science: How long until women are equally represented?," PLOS Biology, Public Library of Science, vol. 16(4), pages 1-20, April.
    8. Shareen A Iqbal & Joshua D Wallach & Muin J Khoury & Sheri D Schully & John P A Ioannidis, 2016. "Reproducible Research Practices and Transparency across the Biomedical Literature," PLOS Biology, Public Library of Science, vol. 14(1), pages 1-13, January.
    9. Leonid Tiokhin & Minhua Yan & Thomas J. H. Morgan, 2021. "Competition for priority harms the reliability of science, but reforms can help," Nature Human Behaviour, Nature, vol. 5(7), pages 857-867, July.
    10. Suresh H. Moolgavkar & Ellen T. Chang & Heather N. Watson & Edmund C. Lau, 2018. "An Assessment of the Cox Proportional Hazards Regression Model for Epidemiologic Studies," Risk Analysis, John Wiley & Sons, vol. 38(4), pages 777-794, April.
    11. Salandra, Rossella & Criscuolo, Paola & Salter, Ammon, 2021. "Directing scientists away from potentially biased publications: the role of systematic reviews in health care," Research Policy, Elsevier, vol. 50(1).
    12. Rebeca Buzzo Feltrin & Maria Cristina Rodrigues Guilam & Manoel Barral-Netto & Nísia Trindade Lima & Milton Ozório Moraes, 2018. "For socially engaged science: The dynamics of knowledge production in the Fiocruz graduate program in the framework of the "Brazil Without Extreme Poverty Plan"," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    13. Shahadat Uddin & Nazim Choudhury & Md Ekramul Hossain, 2019. "A research framework to explore knowledge evolution and scholarly quantification of collaborative research," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 789-803, May.
    14. Stylianos Serghiou & Despina G Contopoulos-Ioannidis & Kevin W Boyack & Nico Riedel & Joshua D Wallach & John P A Ioannidis, 2021. "Assessment of transparency indicators across the biomedical literature: How open is open?," PLOS Biology, Public Library of Science, vol. 19(3), pages 1-26, March.
    15. Anne-Laure Boulesteix, 2015. "Ten Simple Rules for Reducing Overoptimistic Reporting in Methodological Computational Research," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-6, April.

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