Statistics for the hand surgeon. Part 2: avoiding common pitfalls
- PMID: 37747691
- DOI: 10.1177/17531934231200354
Statistics for the hand surgeon. Part 2: avoiding common pitfalls
Abstract
In this second of a two-part article, we describe some of the common statistical pitfalls encountered in hand surgery research. These include dichotomania, the 'Table 2 fallacy', p-hacking, regression to the mean, overfitting and unaccounted data clustering. We explain the impact of these pitfalls on hand surgery research and describe techniques to avoid them. The aim of this two-part article was to provide a starting point for hand surgeons to refer to when conducting or analysing research and provide resources and references for interested readers to explore.
Keywords: Statistics; clinical statistics; hand surgery.
Conflict of interest statement
Declaration of conflicting interestsThe authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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