Statistical Reporting in Plastic Surgery Research
Mohamed Badie Ahmed, Abeer Alsherawi, Suhail A. Doi · 2026
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Description
Words shape how surgeons read their own numbers, Mohamed Badie Ahmed and colleagues argue in a 2026 commentary on statistical reporting in plastic surgery. The piece targets two habits: calling results significant at the 0.05 line, and calling interval estimates confidence intervals, which hints at certainty the math cannot give.
The authors propose statistical divergence in place of significance, and uncertainty intervals in place of confidence intervals. P values, they urge, should be read as a sliding scale of divergence rather than a pass-fail gate. Journal guidelines that enforce plainer language could curb binary thinking and P-hacking, especially in the small samples common to surgery.
Catalog record
| CREATOR | Mohamed Badie Ahmed, Abeer Alsherawi, Suhail A. Doi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 12226 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |