Key Message
The p-value is largely misused in medicine to classify results as “significant” and “non-significant” according to a sharp arbitrary threshold (typically 0.05), focusing only on the null
hypothesis of exactly zero effect. Conversely, the NORD-h protocol offers an easy method to
assess the degree of incompatibility (disagreement) between data and various meaningful effect
sizes using the “s-value”. Unlike the p-value, the s-value is intuitive, representing the number “s”
of consecutive heads in as many fair coin tosses. A simple graphical approach is proposed to
avoid rigid cutoffs, promoting a nuanced interpretation of statistical findings based on cost-benefit analysis.
Citations
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