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Interpreting and Using p

The p-value Function and Statistical Inference

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

Read on this site (3)

Samuel Pawel, Alexander Ly & Eric-Jan Wagenmakers. (2024) Evidential Calibration of Confidence Intervals. The American Statistician 78:1, pages 47-57.
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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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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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Articles from other publishers (22)

Ian C. Marschner. (2024) Confidence distributions for treatment effects in clinical trials: Posteriors without priors. Statistics in Medicine 43:6, pages 1271-1289.
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Charlotte Micheloud, Fadoua Balabdaoui & Leonhard Held. (2023) Assessing replicability with the sceptical p$$ p $$‐value: Type‐I error control and sample size planning. Statistica Neerlandica 77:4, pages 573-591.
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Jonathan P. Williams, Yuying Xie & Jan Hannig. (2022) The EAS approach for graphical selection consistency in vector autoregression models. Canadian Journal of Statistics 51:2, pages 674-703.
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KAZUHIRO YAMAGUCHI. (2023) Current Status of Open Science and Statistical Analysis in <i>The Japanese Journal of Educational Psychology</i>:『教育心理学研究』におけるオープンサイエンスと統計的分析方法の現状. The Annual Report of Educational Psychology in Japan 62:0, pages 143-164.
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Klaus Rostgaard. (2023) Simple nested Bayesian hypothesis testing for meta-analysis, Cox, Poisson and logistic regression models. Scientific Reports 13:1.
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David R. Bickel. (2023) Fisher's disjunction as the principle vindicating p-values, confidence intervals, and their generalizations: A frequentist semantics for possibility theory. International Journal of Approximate Reasoning 154, pages 27-37.
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Mark Rubin. (2023) Type I Error Rates are Not Usually Inflated. SSRN Electronic Journal.
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Kin Wai Chan. (2022) General and feasible tests with multiply-imputed datasets. The Annals of Statistics 50:2.
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Brinley N. Zabriskie, Chris Corcoran & Pralay Senchaudhuri. (2021) A comparison of confidence distribution approaches for rare event meta‐analysis. Statistics in Medicine 40:24, pages 5276-5297.
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Hilary C Watt. (2020) Reflection on modern methods: Statistics education beyond ‘significance’: novel plain English interpretations to deepen understanding of statistics and to steer away from misinterpretations. International Journal of Epidemiology 49:6, pages 2083-2088.
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Gerta Rücker & Guido Schwarzer. (2020) Beyond the forest plot: The drapery plot. Research Synthesis Methods 12:1, pages 13-19.
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Zad Rafi & Sander Greenland. (2020) Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise. BMC Medical Research Methodology 20:1.
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André Plante. (2020) A Gaussian alternative to using improper confidence intervals. Canadian Journal of Statistics 48:4, pages 773-801.
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Stuart M. C. Lee, L. Christine Ribeiro, Steven S. Laurie, Alan H. Feiveson, Vladimir V. Kitov, Igor S. Kofman, Brandon R. Macias, Marissa Rosenberg, Ilya V. Rukavishnikov, Elena S. Tomilovskaya, Jacob J. Bloomberg, Inessa B. Kozlovskaya, Millard F. Reschke & Michael B. Stenger. (2020) Efficacy of Gradient Compression Garments in the Hours After Long-Duration Spaceflight. Frontiers in Physiology 11.
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Matthias C. Rillig, Masahiro Ryo, Anika Lehmann, Carlos A. Aguilar-Trigueros, Sabine BuchertAnja WulfAiko Iwasaki, Julien RoyGaowen Yang. (2019) The role of multiple global change factors in driving soil functions and microbial biodiversity. Science 366:6467, pages 886-890.
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Denis Infanger & Arno Schmidt‐Trucksäss. (2019) P value functions: An underused method to present research results and to promote quantitative reasoning . Statistics in Medicine 38:21, pages 4189-4197.
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