Complementing the P-value from null-hypothesis significance testing with a Bayes factor from null-hypothesis Bayesian testing.

Abstract

Classical frequentist statistics, including null-hypothesis significance testing (NHST), dominates nursing and medical research analysis. However, there is increasing recognition that null-hypothesis Bayesian testing (NHBT) merits inclusion in healthcare research analysis. To recommend that researchers complement the P-value from NHST with a Bayes factor from NHBT in their research analysis. Reporting the P-value and a Bayes factor clarifies results that may be difficult to interpret using the P-value alone. NHBT offers statistical and practical advantages that complement NHST.