B1136
Title: Estimating the risk of time-loss injuries in football players through recurrent time-to-event methods
Authors: Lore Zumeta-Olaskoaga - BCAM - Basque Center for Applied Mathematics (Spain) [presenting]
Andreas Bender - Department of Statistics, LMU Munich (Germany)
Helmut Kuechenhoff - Department of Statistics LMU Munich (Germany)
Dae-Jin Lee - BCAM - Basque Center for Applied Mathematics (Spain)
Abstract: Sports injury prevention research has gained increased interest in professional sports, including professional football. Players are constantly exposed to high competition demands, and subsequently, they are repeatedly exposed to injury risk, which greatly impacts on their individual and team performance. Thus modelling and understanding the injury occurrence is important to help to prevent them, in addition, to maximising players' performance. The aim is to estimate the risk of time-loss injuries in an elite male football team participating in LaLiga. We propose the use of piece-wise exponential additive mixed models for modelling such data and for studying the correlation between recurrent events (injuries) and within-player variability in injury risk.
