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Supplementing or Replacing p

Moving Towards the Post p < 0.05 Era via the Analysis of Credibility

Keep up to date with the latest research on this topic with citation updates for this article.

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Nathaniel T. Stevens & Luke Hagar. (2022) Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests. The American Statistician 76:3, pages 224-237.
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Piero Quatto, Enrico Ripamonti & Donata Marasini. (2022) Beyond p < .05: a critical review of new Bayesian proposals for assessing the p-value. Journal of Biopharmaceutical Statistics 32:2, pages 308-329.
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Haolun Shi & Guosheng Yin. (2021) Reconnecting p-Value and Posterior Probability Under One- and Two-Sided Tests. The American Statistician 75:3, pages 265-275.
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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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Christopher Holmberg. (2024) Why we need to discuss statistical significance and p -values (again): Addressing the underlying issue of different probability interpretations and actionable recommendations . Nordic Journal of Nursing Research 44.
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Paul F. Visintainer. (2021) Moving beyond significance testing: Confidence intervals in clinical research. The Journal of Thoracic and Cardiovascular Surgery 161:4, pages 1373-1376.
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