Statistics for the hand surgeon. Part 1: principles and application to hand surgery research.

Statistics clinical statistics hand surgery

Journal

The Journal of hand surgery, European volume
ISSN: 2043-6289
Titre abrégé: J Hand Surg Eur Vol
Pays: England
ID NLM: 101315820

Informations de publication

Date de publication:
11 2023
Historique:
medline: 31 10 2023
pubmed: 20 9 2023
entrez: 20 9 2023
Statut: ppublish

Résumé

Hand surgeons have the potential to improve patient care, both with their own research and by using evidenced-based practice. In this first part of a two-part article, we describe key steps for the analysis of clinical data using quantitative methodology. We aim to describe the principles of medical statistics and their relevance and use in hand surgery, with contemporaneous examples. Hand surgeons seek expertise and guidance in the clinical domain to improve their practice and patient care. Part of this process involves the critical analysis and appraisal of the research of others.

Identifiants

pubmed: 37728884
doi: 10.1177/17531934231200349
doi:

Types de publication

Editorial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1096-1102

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Mary Rose Harvey (MR)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Jeremy Rodrigues (J)

Stoke Mandeville Hospital, Aylesbury, UK.
Warwick Clinical Trials Unit, Warwick, Coventry, UK.

Jennifer C E Lane (JCE)

Barts Bone and Joint Health, Queen Mary University of London, London, UK.

Ryckie George Wade (RG)

University of Leeds, Leeds, UK.

Joris Sebastiaan Teunissen (JS)

Erasmus University Medical Centre, Rotterdam, The Netherlands.

Dieuwke C Broekstra (DC)

University of Groningen, University Medical Centre Groningen, The Netherlands.

Conrad Harrison (C)

University of Oxford, Oxford, UK.

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Classifications MeSH