@article{30a4fdb864c144b4bb54968085dd42db,
title = "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 {\textquoteleft}Table 2 fallacy{\textquoteright}, 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 = "clinical statistics, hand surgery, Statistics",
author = "Harvey, {Mary Rose} and Jeremy Rodrigues and Lane, {Jennifer C E} and Wade, {Ryckie George} and Broekstra, {Dieuwke C} and Conrad Harrison",
note = "Funding Information: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Ryckie Wade is an Academic Clinical Lecturer funded by the National Institute for Health Research (NIHR, CL-2021-02-002). The views expressed are those of the authors and not necessarily those of the United Kingdom{\textquoteright}s National Health Service, NIHR or Department of Health. This work acknowledges the support of the National Institute for Health and Care Research Barts Biomedical Research Centre (NIHR203330), a delivery partnership of Barts Health NHS Trust, Queen Mary University of London, St George{\textquoteright}s University Hospitals NHS Foundation Trust and St George{\textquoteright}s University of London. Publisher Copyright: {\textcopyright} The Author(s) 2023.",
year = "2023",
month = dec,
doi = "10.1177/17531934231200354",
language = "English",
volume = "48",
pages = "1237–1243",
journal = "Journal of Hand Surgery: European Volume",
issn = "1753-1934",
publisher = "SAGE Publications Inc.",
number = "11",
}