Making Statistics Clinically Meaningful
J L Peacock, P J Peacock, E Horváth-Puhó, J C Madan, M R Karagas, H T Sørensen · 2026
Read Making Statistics Clinically Meaningful by J L Peacock, P J Peacock, E Horváth-Puhó, J C Madan, M R Karagas, H T Sørensen (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13271422.txt.
Description
J. L. Peacock is lead author of a 2026 perspectives article on making statistics clinically meaningful, so research results can actually guide doctors and policy makers. Evidence-based medicine helps patients, the authors argue, only when findings are presented in forms busy clinicians can interpret and apply.
The article walks through practical choices across a study's life: asking the right questions, designing well, and reporting transparently. Topics include interpreting p-values, effect sizes, differences between group averages, adjusted versus raw estimates, and the smallest change patients would notice. It also urges showing absolute and relative risk side by side, and recommends team-wide discussion of clinical meaning from the start.
Catalog record
| CREATOR | J L Peacock, P J Peacock, E Horváth-Puhó, J C Madan, M R Karagas, H T Sørensen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47265 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |