title: Prediction of Future Injury in Sport: Primary and Secondary Anterior Cruciate Ligament Injury Risk and Return to Sport as a Model.
abstract: Can we predict future events? Biostatisticians might answer with an unequivocal yes and state that logistic regression models do exactly that: they predict the relative risk of an outcome on the basis of logistic regression of multiple independent variables. If this is the case, then which approaches improve predictive capability? We are not attempting to predict individual events in individual athletes. However, certain approaches can improve predictive power. J Orthop Sports Phys Ther 2017;47(4):228-231. doi:10.2519/jospt.2017.0603.
authors.forename: Timothy E
authors.initials: TE
authors.lastname: Hewett
mesh_terms: D000070598:Anterior Cruciate Ligament Injuries / Q000517:prevention & control / Q000534:rehabilitation; D001265:Athletic Injuries / Q000517:prevention & control / Q000534:rehabilitation; D015340:Epidemiologic Research Design; D006801:Humans; D016015:Logistic Models; D008954:Models, Biological; D012107:Research Design; D000068958:Return to Sport; D012306:Risk; D018570:Risk Assessment; D012307:Risk Factors; D055502:Secondary Prevention
keywords: ACL; anterior cruciate ligament; injury; predictive model; return to sport