Journal of evaluation in clinical practice
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Hypothesis testing is integral to health research and is commonly completed through frequentist statistics focused on computing p values. p Values have been long criticized for offering limited information about the relationship of variables and strength of evidence concerning the plausibility, presence and certainty of associations among variables. Bayesian statistics is a potential alternative for inference-making. Despite emerging discussion on Bayesian statistics across various disciplines, the uptake of Bayesian statistics in health research is still limited. ⋯ Health researchers should supplement frequentists statistics with Bayesian statistics when analysing research data. The overreliance on p values for clinical decisions making should be avoided. Bayes factors offer a more intuitive measure of assessing the strength of evidence for null and alternative hypothesis.
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Retraction Of Publication
Retraction: "How the adverse effect counting window affected vaccine safety calculations in randomised trials of COVID-19 vaccines".
RETRACTION: "Re: How the adverse effect counting window affected vaccine safety calculations in randomised trials of COVID-19 vaccines," by H. Daungsupawong and V. ⋯ The above article, published online on 26 February 2024 in Wiley Online Library, in Volume 30, Issue 4, has been retracted by agreement between the journal Editor-in-Chief, Karen Grimmer and Michael Loughlin; and John Wiley & Sons Ltd. The retraction has been agreed as this Letter to the Editor lacks relevant scientific discussion and the statements in this letter are not sufficiently supported by references to the literature.