Picking the right tools for the job: opening up the statistical toolkit to build a compelling case in sport and exercise medicine research
Br J Sports Med
.
2019 Aug;53(16):987-988.
doi: 10.1136/bjsports-2018-099427.
Epub 2018 May 2.
Authors
Johann Windt
1
2
3
,
Rasmus Oestergaard Nielsen
4
,
Bruno D Zumbo
5
Affiliations
1
Experimental Medicine Program, University of British Columbia, Vancouver, British Columbia, Canada.
2
Sports Medicine Department, United States Olympic Committee, Colorado Springs, Colorado, USA.
3
United States Coalition for the Prevention of Illness and Injury in Sport, Colorado Springs, Colorado, USA.
4
Section for Sports Science, Department of Public Health, Aarhus University, Aarhus, Denmark.
5
Measurement, Evaluation, and Research Methodology, University of British Columbia, Vancouver, British Columbia, Canada.
PMID:
29720477
DOI:
10.1136/bjsports-2018-099427
No abstract available
Keywords:
methodology; statistics.
Publication types
Editorial
MeSH terms
Biomedical Research / statistics & numerical data*
Data Interpretation, Statistical
Exercise*
Humans
Sports Medicine / statistics & numerical data*