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Getting the most out of intensive longitudinal data: a methodological review of workload–injury studies

Authors

  • Johann Windt Experimental Medicine Program, University of British Columbia, Vancouver, British Columbia, Canada United States Olympic Committee, Colorado Springs, Colorado, USA United States Coalition for the Prevention of Illness and Injury in Sport, Colorado Springs, Colorado, USA PubMed articlesGoogle scholar articles
  • Clare L Ardern Division of Physiotherapy, Linköping University, Linköping, Sweden School of Allied Health, La Trobe University, Melbourne, Victoria, Australia PubMed articlesGoogle scholar articles
  • Tim J Gabbett Gabbett Performance Solutions, Brisbane, Queensland, Australia Institute for Resilient Regions, University of Southern Queensland, Ipswich, Queensland, Australia PubMed articlesGoogle scholar articles
  • Karim M Khan Experimental Medicine Program, University of British Columbia, Vancouver, British Columbia, Canada Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada PubMed articlesGoogle scholar articles
  • Chad E Cook Department of Orthopaedics, Duke University, Durham, North Carolina, USA PubMed articlesGoogle scholar articles
  • Ben C Sporer Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada Vancouver Whitecaps Football Club, Vancouver, British Columbia, Canada PubMed articlesGoogle scholar articles
  • Bruno D Zumbo Measurement, Evaluation, and Research Methodology Program, University of British Columbia, Vancouver, British Columbia, Canada PubMed articlesGoogle scholar articles
  1. Correspondence to Johann Windt; JohannWindt{at}gmail.com
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Citation

Windt J, Ardern CL, Gabbett TJ, et al
Getting the most out of intensive longitudinal data: a methodological review of workload–injury studies

Publication history

  • Received March 13, 2018
  • Revised July 24, 2018
  • Accepted September 4, 2018
  • First published October 2, 2018.
Online issue publication 
October 02, 2018

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