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Radical and Not-So-Radical Principles and Practices: Discussion of Meng✩
Volume 1, Issue 1 (2023), pp. 35–38
Ronald L. Wasserstein   Allen L. Schirm   Nicole A. Lazar  

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https://doi.org/10.51387/22-NEJSDS6A
Pub. online: 25 October 2022      Type: Methodology Article      Open accessOpen Access
Area: Statistical Methodology

✩ Main article: https://doi.org/10.51387/22-NEJSDS6.

Accepted
7 September 2022
Published
25 October 2022

Abstract

We highlight points of agreement between Meng’s suggested principles and those proposed in our 2019 editorial in The American Statistician. We also discuss some questions that arise in the application of Meng’s principles in practice.

References

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Banks, G. C., Field, J. G., Oswald, F. L., O’Boyle, E. H., Landis, R. S., Rupp, D. E. and Rogelberg, S. G. (2019). Answers to 18 questions about open science practices. Journal of Business and Psychology 34 257–270.
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Gelman, A. (2016). The problems with p-values are not just with p-values. The American Statistician (online supplement) 70 129–133. https://doi.org/10.1080/00031305.2016.1154108.
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Gelman, A. and Loken, E. (2014). The statistical crisis in science. American Scientist 102 460–465.
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McShane, B., Gal, D., Gelman, A., Robert, C. and Tackett, J. L. (2019). Abandon statistical significance. The American Statistician 73:sup 1 235–245. https://doi.org/10.1080/00031305.2018.1527253. MR3925729
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Wasserstein, R. L., Schirm, A. L. and Lazar, N. A. (2019). Moving to a world beyond “$p<0.05$”. The American Statistician 73:sup 1 1–19. https://doi.org/10.1080/00031305.2019.1583913. MR3925703

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Keywords
ATOMIC principles Hypothesis testing Statistical inference

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