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Special Section on Roles of Hypothesis Testing, p-Values, and Decision-Making in Biopharmaceutical Research

It’s the Selection’s Fault—Not the p-Values’: A Comment on “The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations”

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Pages 22-25 | Received 01 Oct 2020, Accepted 22 Oct 2020, Published online: 23 Dec 2020

References

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  • Gibson, E. W. (2020), “The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations,” Statistics in Biopharmaceutical Research, DOI: 10.1080/19466315.2020.1724580.
  • Packer, M., O’Connor, C. M., Ghali, J. K., Pressler, M. L., Carson, P. E., Belkin, R. N., Miller, A. B., Neuberg, G. W., Frid, D., Wertheimer, J. H., and Cropp, A. B. (1996), “Effect of Amlodipine on Morbidity and Mortality in Severe Chronic Heart Failure,” New England Journal of Medicine, 335, 1107–1114. DOI: 10.1056/NEJM199610103351504.
  • Weinstein, A., Fithian, W., and Benjamini, Y. (2013), “Selection Adjusted Confidence Intervals With More Power to Determine the Sign,” Journal of the American Statistical Association, 108, 165–176. DOI: 10.1080/01621459.2012.737740.
  • Zeevi, Y., Astashenko, S., Meir, A., and Benjamini, Y. (2020), “Improving the Replicability of Results From a Single Psychological Experiment,” arXiv no. 2006.11585.

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