P-value, compatibility, and S-value

• Published in: Global Epidemiology Vol. 4; p. 100085
• Main Authors: Mansournia, Mohammad Ali, Nazemipour, Maryam, Etminan, Mahyar
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.12.2022; Elsevier
• Subjects: Compatibility interval; Confidence interval; P-value; S-value; Significance; Compatibility interval; S-value; P-value; Significance; Confidence interval
• ISSN: 2590-1133; 2590-1133
• DOI: 10.1016/j.gloepi.2022.100085

Misinterpretations of P-values and 95% confidence intervals are ubiquitous in medical research. Specifically, the terms significance or confidence, extensively used in medical papers, ignore biases and violations of statistical assumptions and hence should be called overconfidence terms. In this paper, we present the compatibility view of P-values and confidence intervals; the P-value is interpreted as an index of compatibility between data and the model, including the test hypothesis and background assumptions, whereas a confidence interval is interpreted as the range of parameter values that are compatible with the data under background assumptions. We also suggest the use of a surprisal measure, often referred to as the S-value, a novel metric that transforms the P-value, for gauging compatibility in terms of an intuitive experiment of coin tossing.