What is it about?
This paper uses Bayesian calibrations of p-values to derive both point and interval estimates of the effect size.
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Why is it important?
Null hypothesis significance testing is often criticized for leading to a neglect of effect-size estimation. This paper provides calibrated estimates of the effect size that are simple to understand and easy to compute.
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David R. Bickel
University of North Carolina at Greensboro
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This page is a summary of: Interval estimation, point estimation, and null hypothesis significance testing calibrated by an estimated posterior probability of the null hypothesis, Communication in Statistics- Theory and Methods, May 2021, Taylor & Francis,
DOI: 10.1080/03610926.2021.1921805.
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