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Complementing the P-value from null-hypothesis significance testing with a Bayes factor from null-hypothesis Bayesian
Helen Evelyn Malone1, Imelda Coyne2
1School of Nursing and Midwifery, Trinity College Dublin, University of Dublin, Dublin, Ireland.
Background:
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.
Aim:
To recommend that researchers complement the P-value from NHST with a Bayes factor from NHBT in their research analysis.
Discussion:
Reporting the P-value and a Bayes factor clarifies results that may be difficult to interpret using the P-value alone.
Conclusion:
NHBT offers statistical and practical advantages that complement NHST.
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