Table 1

Overview of the statistical methods, as stated by the authors in the statistics section in each manuscript, used to examine the association between training load and injury in 31 original articles included in a systematic review by Drew and Finch5

First author
(reference number)		YearSample sizeStatistical method*Supplementary methods
Rugby and rugby union
 Gabbett49 200479Χ2 One-way analysis of variance
 Gabbett50 2004220Χ2 One-way analysis of variance
 Gabbett51 2005153GLM (OR)
 Gabbett52 2007183Logistic regressionΧ2
 Brooks53 2008502Pearson correlation
 Gabbett54 201091Logistic regressionTwo-way analysis of variance
 Killen55 201036Χ2
 Gabbett56 201179Pearson correlation
 Gabbett 11 2012 34 Time to event (Cox)
 Hulin57 201653Logistic regression
 Cross58 2016173GLM
Cricket
 Dennis59 2003902×2 tables (risk ratio)T-test
 Dennis60 2005442×2 tables (risk ratio)
 Orchard61 20091292×2 tables (risk ratio)T-test
 Hulin62 201428Logistic regression
 Orchard63 2015235Logistic regression
Football
 Lovell64 200619Logistic regression
 Piggot (master’s thesis)200916Pearson correlation
 Brink65 201053Multinomial regression
 Rogalski66 201346Logistic regressionΧ2
 Colby67 201446Logistic regressionΧ2
 Ehrmann201519Unable to assess article
Other sports
 Lyman68 2001398GLM
 Lyman69 2002476GLMLogistic regression
 Anderson70 200312Pearson correlation
 Wilson71 201020Χ2 Pearson correlation
 Visnes72 2013141Logistic regression
 Wheeler73 20137Residual maximum likelihood
 Malisoux 10 2013 154 Time to event (Cox)
 Bahr74 201444Unknown model
 Hellard75 201528Logistic regression

  • Papers in which time-to-event models were used are highlighted in bold.

  • Cox refers to Cox proportional hazards regression.

  • Football includes soccer and Australian football. Other sports: rowing, baseball, basketball, swimming, volleyball and multiple sports.

  • *Used to examine the association between training load and sports injury.

  • GLM, generalised linear model.