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A CA 125 value of ≥30 U/mL was defined as elevated by the receiver operating characteristic curve analysis and used for all subsequent analyses.
A previous study showed that models using HES data can have good discrimination (as assessed by the receiver operating curve c statistic) and calibration (using standardised residuals measuring goodness-of-fit) [17].
Finally, the sensitivity was assessed by the Receiver Operating Characteristics Curve (ROC) analysis.
This was confirmed by the receiver operating characteristic curve analysis (AUC = 0.7, 95% CI = 0.574 to 0.822; P = 0.003).
Last, the performance of the predictive score was evaluated by the receiver operating characteristic curve (ROC) analysis.
The best cutoff value for the nucleolar size variable was obtained by the receiver operating characteristic curve and corresponded to the value of 5 μm.
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The predictivity of our models was then evaluated by the receiver-operating-characteristics (ROC) curve, estmating the area under the curve (AUC).
We used curves defined by the receiver-operating characteristic (ROC) to select a single network from each model to be used in regression analyses of network response and several motion variables.
were calculated by the receiver-operating characteristic curves (ROC).
The ability of the RD to discriminate was estimated by the receiver-operating characteristic (ROC) curve.
We evaluated the performance of the methods by the receiver-operating characteristic curve (ROC curve) and the Precision Recall curve (Supplementary Fig. S2).
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