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Getting to a Post “p<0.05” Era

What Have We (Not) Learnt from Millions of Scientific Papers with P Values?

Pages 20-25 | Received 25 Nov 2017, Published online: 20 Mar 2019

References

  • Benjamin, D. J., et al. (2018), “Redefine Statistical Significance,” Nature Human Behaviour, 2, 6–10.
  • Bermon, S., and Garnier, P. Y. (2018), “Serum Androgen Levels and their Relation to Performance in Track and Field: Mass Spectrometry Results from 2127 Observations in Male and Female Elite Athletes,” British Journal of Sports Medicine, 51, 1309–1314.
  • Boutron, I., Altman, D. G., Hopewell, S., Vera-Badillo, F., Tannock, I., and Ravaud, P. (2014), “Impact of Spin in the Abstracts of Articles Reporting Results of Randomized Controlled Trials in the Field of Cancer: the SPIIN Randomized Controlled Trial,” Journal of Clinical Oncology, 32, 4120–4126.
  • Bruns, S. B., and Ioannidis, J.P (2016), “p-Curve and p-Hacking in Observational Research,” PLoS One, 11, e0149144.
  • Chambers, C. D. (2013), “Registered Reports: a New Publishing Initiative at Cortex,” Cortex, 49, 609–610.
  • Chavalarias, D., Wallach, J. D., Li, A. H., and Ioannidis, J. P. (2016), “Evolution of Reporting P Values in the Biomedical Literature, 1990–2015,” JAMA, 315, 1141–1148.
  • Cristea, I. A., and Ioannidis, J. P. (2018), “P-values in Display Items are Ubiquitous and Almost Invariably Significant: A Survey of Top Science Journals,” PLoS ONE, 13, e0197440.
  • Fanelli, D. (2010), ““Positive” Results Increase Down the Hierarchy of the Sciences,” PLoS One, 5, e10068.
  • Fanelli, D., Costas, R., and Ioannidis, J. P. (2017), “Meta-assessment of Bias in Science,” Proceedings of the National Academy of Sciences U S A, 114, 3714–3719.
  • Gelman, A. (2014), “The Statistical Crisis in Science,” American Scientist, 102, 460–65.
  • Gøtzsche, P. C. (2006), “Believability of Relative Risks and Odds Ratios in Abstracts: Cross Sectional Study,” BMJ, 333, 231–234.
  • Ioannidis, J. P. (2018), “The Proposal to Lower P-value Thresholds to .005,” JAMA, 319, 1429–1430.
  • Ioannidis, J. P., and Trikalinos, T. A. (2005), “Early Extreme Contradictory Estimates may Appear in Published Research: the Proteus Phenomenon in Molecular Genetics Research and Randomized Trials,” Journal of Clinical Epidemiology, 58, 543–549.
  • Khabsa, M., and Giles, C. L. (2014), “The Number of Scholarly Documents on the Public Web,” PLoS One, 9, e93949.
  • Munafò, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., Percie du Sert, N., Simonsohn, U., Wagenmakers, E.-J., Ware, J. J., and Ioannidis, J. P. (2017), “A Manifesto for Reproducible Science,” Nature Human Behaviour, 1, 0021.
  • Patel, C. J., Burford, B., and Ioannidis, J. P. (2015), “Assessment of Vibration of Effects due to Model Specification can Demonstrate the Instability of Observational Associations,” Journal of Clinical Epidemiology, 68, 1046–1058.
  • Patel, C. J., Ji, J., Sundquist, J., Ioannidis, J. P., and Sundquist, K. (2016), “Systematic Assessment of Pharmaceutical Prescriptions in Association with Cancer Risk: a Method to Conduct a Population-wide Medication-wide Longitudinal Study,” Scientific Reports, 10, 31308.
  • Pfeiffer, T., Bertram, L., and Ioannidis, J. P. (2011), “Quantifying Selective Reporting and the Proteus Phenomenon for Multiple Datasets with Similar Bias,” PLoS One, 6, e18362.
  • Simonsohn, U., Nelson, L. D., and Simmons, J. P. (2014), “P-curve: a Key to the File-drawer,” Journal of Experimental Psychology General, 143, 534–547.
  • Szucs, D., and Ioannidis, J. P. (2017a), “When Null Hypothesis Significance Testing is Unsuitable for Research: a Reassessment,” Frontiers in Human Neuroscience, 11, 390.
  • Szucs, D., and Ioannidis, J. P. (2017b), “Empirical assessment of Published Effect Sizes and Power in the Recent Cognitive Neuroscience and Psychology Literature,” PLoS Biology, 15, e2000797.
  • Szucs, D. (2016), “A Tutorial on Hunting Statistical Significance by chasing N,” Frontiers in Psychology, 7, 1444.
  • van Ravenzwaaij, D., and Ioannidis, J. P. (2017), “A Simulation Study of the Strength of Evidence in the Recommendation of Medications Based on Two Trials with Statistically Significant Results,” PLoS One, 12, e0173184.
  • Wasserstein, R. L., and Lazar, N. A. (2016), “The ASA's Statement on p-Values: Context, Process, and Purpose,” The American Statistician, 70, 129–133.
  • Young, N. S., Ioannidis, J. P., and Al-Ubaydli, O. (2008), “Why Current Publication Practices may Distort Science,” PLoS Medicine, 5, e201.