Interpreting frequentist hypothesis tests: insights from Bayesian inference
Author:
Funder
University of Auckland
Publisher
Springer Science and Business Media LLC
Subject
Anesthesiology and Pain Medicine,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s12630-023-02557-5.pdf
Reference44 articles.
1. Sidebotham D. Are most randomised trials in anaesthesia and critical care wrong? An analysis using Bayes’ Theorem. Anaesthesia 2020; 75: 1386–93. https://doi.org/10.1111/anae.15029
2. Lamontagne F, Masse MH, Menard J, et al. Intravenous vitamin C in adults with sepsis in the intensive care unit. N Engl J Med 2022; 386: 2387–98. https://doi.org/10.1056/nejmoa2200644
3. Sidebotham D. Fooled by significance testing: an analysis of the LOVIT vitamin C trial. J Extra Corpor Technol 2022; 53: 324–9. https://doi.org/10.1182/ject-2200030
4. Seretny S, Barlow CJ, Sidebotham D. Multicentre randomised trials in anaesthesia: an anlysis using Bayesian metrics. Anaesthesia 2022; 78: 73–80. https://doi.org/10.1111/anae.15867
5. Sidebotham D, Barlow CJ. The false-positive and false-negative risks for individual multicentre trials in critical care. BJA Open 2022; 1: 100003. https://doi.org/10.1016/j.bjao.2022.100003
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