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Supplementing or Replacing p

Three Recommendations for Improving the Use of p-Values

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Noura Ait Mohammed & Hafida Guerbyenne. (2023) Bayesian inference in a multiple contaminated autoregressive model with trend. Journal of Statistical Computation and Simulation 93:12, pages 2067-2109.
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Riko Kelter. (2023) How to Choose between Different Bayesian Posterior Indices for Hypothesis Testing in Practice. Multivariate Behavioral Research 58:1, pages 160-188.
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Shelbi Kuhlmann & Logan Fiorella. (2022) Effects of instructor-provided visuals on learner-generated explanations. Educational Psychology 42:9, pages 1068-1088.
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Peter Hoff. (2022) Smaller p-Values via Indirect Information. Journal of the American Statistical Association 117:539, pages 1254-1269.
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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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Lloyd A. Courtenay, José Yravedra, Miguel Ángel Maté-González, José Mª Vázquez-Rodríguez, Maximiliano Fernández-Fernández & Diego González-Aguilera. (2021) The effects of prey size on carnivore tooth mark morphologies on bone; the case study of Canis lupus signatus. Historical Biology 33:11, pages 2760-2772.
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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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Stephen J. Ruberg. (2021) A Bayesian Posterior Probability Is the Real Replication Probability. Statistics in Biopharmaceutical Research 13:1, pages 49-54.
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Eric W. Gibson. (2021) The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations. Statistics in Biopharmaceutical Research 13:1, pages 6-18.
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Robert M. X. Wu, Wanjun Yan, Zhongwu Zhang, Jinwen Gou, Jianfeng Fan, Bao Liu, Yong Shi, Bo Shen, Haijun Zhao, Yanyun Ma, Jeffrey Soar, Xiangyu Sun, Ergun Gide, Zhigang Sun, Peilin Wang, Xinxin Cui & Ya Wang. (2021) A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China. Geomatics, Natural Hazards and Risk 12:1, pages 3175-3204.
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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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