Response to Lolli: Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data.

The authors offer a response to commentaries made on their study on data modeling of injuries using global-positioning system and multiomic data. Topics include steps they took in response to unstable predictions due to data sparsity, complementary insights offered by the interpretation of hazard ratios and the probabilistic index, and the importance of collaboration among sport scientists, clinicians, and coaches.