Response to “Comment on: Machine Learning for Understanding and Predicting Injuries in Football”
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1186/s40798-024-00751-3.pdf
Reference13 articles.
1. Bullock GS, Ward P, Collins GS, Hughes T, Impellizzeri FM. Comment on: “machine learning for understanding and predicting injuries in football.” Sports Med Open. 2022;8(1):73.
2. Majumdar A, Bakirov R, Hodges D, et al. Machine learning for understanding and predicting injuries in football. Sports Med-Open. 2022;8:73.
3. Bullock GS, Mylott J, Hughes T, et al. Just how confident can we be in predicting sports injuries? A systematic review of the methodological conduct and performance of existing musculoskeletal injury prediction models in sport. Sports Med. 2022;52(10):2469–82.
4. Hernán MA. The C-word: scientific euphemisms do not improve causal inference from observational data. Am J Public Health. 2018;108(5):616–9.
5. Dahabreh IJ, Bibbins-Domingo K. Causal inference about the effects of interventions from observational studies in medical journals. JAMA. 1845;331(21):2024.
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