A0530
Title: Evaluating the risk of injury in NBA players
Authors: Ambra Macis - Universita' degli studi di Brescia (Italy) [presenting]
Marco Sandri - University of Brescia (Italy)
Marica Manisera - Universita' degli Studi di Brescia (Italy)
Paola Zuccolotto - University of Brescia (Italy)
Abstract: Injuries commonly occur in sports, and their prevention is important for many reasons. Indeed, injuries have economic implications for teams and may psychologically impact athletes. The survival data analysis framework is considered to evaluate the NBA players' injury risk through the use of statistical models for recurrent events. To this extent, a frailty Cox model has been applied to a unique data set created with a non-trivial harmonization and merging of several data sources: (i) data about all the injuries that occurred from the 2010-2011 season to the 2019-2020 season, (ii) the play-by-play datasets for extracting the information about the amount of minutes played by the players and (iii) an additional dataset with some other specific players' information.
