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The glucose areas under the curves (AUC) were measured using the trapezoidal method.
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In a sensitivity analysis, AUC was measured using the trapezoidal rule 24– 26; median standardized 24-month AUC was decreased by 1.01 EDSS-years in the natalizumab group compared to the BRACE group (P = 0.001) when this method was employed.
Discrimination between cases and controls was measured using the AUCs of the risk scores.
The ranking performance is measured using area under the curve (AUC) of receiver operating characteristics (ROC) curve.
The prediction performance was measured using the Area Under the ROC Curve (AUC) [25].
The classification accuracy for each model was measured using the area under the receiver-operator curve (AUC).
Prediction performance was measured using the area under the receiver operating characteristic curve (AUC), also known as the C-statistic, 25 and 95% CIs of AUCs were computed using 1000 bootstrap samples of validation cohort.
Empirical discriminability is measured using a non-parametric statistic known as area under the ROC curve (AUC).
It is measured using the receiver operating characteristic curve and summarised by the area under the curve (AUC).
The classification performance is measured using the following standard measures of performance, namely, Precision, Recall, F-measure, and Area under the ROC Curve (AUC).
All patients initially received four cycles of carboplatin AUC 7 (AUC=area under the curve, calculated using the Calvert formula (Calvert et al, 1989) where the glomerular filtration rate (GFR) was measured using an isotopic method).
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