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Original research
Predictive models for musculoskeletal injury risk: why statistical approach makes all the difference

Authors

  • Daniel I Rhon Department of Physical Medicine & Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USADepartment of Rehabilitation Medicine, Brooke Army Medical Center, Fort Sam Houston, Texas, USA PubMed articlesGoogle scholar articles
  • Deydre S Teyhen Office of the Army Surgeon General, Falls Church, Virginia, USA PubMed articlesGoogle scholar articles
  • Gary S Collins Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, Oxford University, Oxford, UKOxford University Hospitals, NHS Foundation Trust, Oxford, UK PubMed articlesGoogle scholar articles
  • Garrett S Bullock Department of Orthopaedics, Wake Forest School of Medicine, Winston-Salem, North Carolina, USACentre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, University of Oxford, Oxford, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Daniel I Rhon; daniel.i.rhon.ctr{at}mail.mil
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Citation

Rhon DI, Teyhen DS, Collins GS, et al
Predictive models for musculoskeletal injury risk: why statistical approach makes all the difference
BMJ Open Sport & Exercise Medicine 2022;8:e001388. doi: 10.1136/bmjsem-2022-001388

Publication history

  • Accepted September 5, 2022
  • First published October 14, 2022.
Online issue publication 
December 30, 2022

  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

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Copyright information

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.