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The American Statistician Volume 73, 2019 - Issue sup1: Statistical Inference in the 21st Century: A World Beyond p < 0.05
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Adopting More Holistic Approaches

Inference and Decision Making for 21st-Century Drug Development and Approval

Stephen J. RubergAnalytix Thinking, LLC, Indianapolis, IN; Correspondence[email protected]
,
Frank E. Harrell Jr.Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN;
,
Margaret Gamalo-SiebersLilly Corporate Center, Eli Lilly & Company, Indianapolis, IN;
,
Lisa LaVangeDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC;
,
J. Jack LeeDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX;
,
Karen PriceLilly Corporate Center, Eli Lilly & Company, Indianapolis, IN;
&
Carl PeckNDA Partners, LLC, San Luis Obispo, CA
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Pages 319-327 | Received 15 Mar 2018, Accepted 31 Dec 2018, Published online: 20 Mar 2019

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Michael Lavine. (2024) P-values don’t measure evidence. Communications in Statistics - Theory and Methods 53:2, pages 718-726.
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Brian D. Segal. (2021) Toward Replicability With Confidence Intervals for the Exceedance Probability. The American Statistician 75:2, pages 128-138.
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Eric W. Gibson. (2021) Rejoinder to Commentaries on “The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations”. Statistics in Biopharmaceutical Research 13:1, pages 55-56.
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C. Glenn Begley & Steven M. Snapinn. (2021) Comment on “The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations”. Statistics in Biopharmaceutical Research 13:1, pages 40-42.
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Ronald L. Wasserstein, Allen L. Schirm & Nicole A. Lazar. (2019) Moving to a World Beyond “p < 0.05”. The American Statistician 73:sup1, pages 1-19.
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