Seven sins when interpreting statistics in sports injury science
Br J Sports Med
.
2018 Nov;52(22):1410-1412.
doi: 10.1136/bjsports-2017-098524.
Epub 2017 Dec 20.
Authors
Rasmus Oestergaard Nielsen
1
,
Cassandra M Chapman
2
,
Winnifred R Louis
2
,
Steven D Stovitz
3
,
Mohammad Ali Mansournia
4
5
,
Johann Windt
6
,
Merete Møller
7
,
Erik Thorlund Parner
1
,
Adam Hulme
8
,
Michael Lejbach Bertelsen
1
,
Caroline F Finch
9
,
Marti Casals
10
11
,
Evert Verhagen
12
Affiliations
1
Department of Public Health, Aarhus University, Aarhus, Denmark.
2
School of Psychology, University of Queensland, Brisbane, Queensland, Australia.
3
Department of Family Medicine and Community Health, University of Minnesota, Minneapolis, Minnesota, USA.
4
Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
5
Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
6
Experimental Medicine Program, University of British Columbia, Vancouver, British Columbia, Canada.
7
Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
8
Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Queensland, Australia.
9
Australian Centre for Research into Injury in Sport and its Prevention, Federation University Australia, Ballarat, Australia.
10
Sport Performance Analysis Research Group, University of Vic, Barcelona, Spain.
11
Research Centre Network for Epidemiology and Public Health (CIBERESP), Barcelona, Spain.
12
Amsterdam Collaboration on Health and Safety in Sports, Public and Occupational Health, VU University Medical Center, Amsterdam, The Netherlands.
PMID:
29263023
DOI:
10.1136/bjsports-2017-098524
No abstract available
Keywords:
injury; methodology; statistics.
Publication types
Editorial
MeSH terms
Athletic Injuries / epidemiology*
Causality
Humans
Statistics as Topic*