elite dangerous download validation error

Further research should prioritise identifying novel prognostic factors to improve future risk prediction models in this field. The selected PHE data were insufficient prognostic factors from which to develop a useful model for predicting IMI risk in elite footballers. The parsimonious model included only age and frequency of previous IMIs apparent calibration was perfect, but discrimination was modest (C-index = 0.641, 95% confidence interval (CI) = 0.580 to 0.703), with clinical utility evident between risk thresholds of 37–71%. Resultsĭuring 317 participant-seasons, 138 I-IMIs were recorded. The model was internally validated using bootstrapping and adjusted for overfitting. Predictive performance was assessed through calibration, discrimination and decision-curve analysis, averaged across all imputed datasets. A full logistic regression model was fitted, and a parsimonious model developed using backward-selection to remove factors that exceeded a threshold that was equivalent to Akaike’s Information Criterion (alpha 0.157).

The outcome was any time-loss, index indirect muscle injury (I-IMI) affecting the lower extremity. Multiple imputation was used to handle missing values. Ten candidate prognostic factors (12 parameters) were included in model development. Routinely collected preseason PHE and injury data were used from 152 players over 5 seasons (1st July 2013 to 19th May 2018). To develop and internally validate a prognostic model to predict individualised indirect (non-contact) muscle injury (IMI) risk during a season in elite footballers, only using PHE-derived candidate prognostic factors. In elite football (soccer), periodic health examination (PHE) could provide prognostic factors to predict injury risk.

Elite dangerous download validation error