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Model derivation and assessment of model performance was performed by using R software version 2.6.0.
Model performance was assessed using Monte Carlo techniques.
The overall model performance was evaluated using Cohen's kappa statistics.
Further, the model performance was evaluated using various performance criteria.
The C statistic was used to quantify discrimination, and model performance was internally validated using 10-fold cross-validation.
Risk model performance was assessed.
Model performance was then evaluated using an independent validation set.
Model performance was compared using adjusted R2 and predictive ratios.
Model performance was evaluated using area under the receiver operating characteristic curve (AUC) analysis.
The primary outcome was cardiovascular (CV) death, but model performance was also explored for other key outcomes.
Model performance was further improved by fine-tuning the parameter values.
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