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We plotted the sensitivity and specificity using a receiving operating characteristics (ROC) graph, and the area under the curve (AUC) was calculated for the different variables as a measure of their ability to predict mortality.
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The results were analyzed using a receiver operating characteristic curve.
Discrimination was assessed using a receiver operating characteristics curve.
As an example, some authors set the cut-off based on internal control whether using or not using a receiving-operating characteristic (ROC) analysis [ 17], while others express WT1 levels using GUS gene [ 13] and taking cell line K562 as calibrator [ 12].
The performance of these different methods was assessed by a receiving operating characteristic (ROC) method.
The predictive value of PIIINP, PINP and ICTP on the organ failures was measured by using the receiving operating characteristics (ROC) curve analysis.
The novel index using α-fetal protein (AFP) and activated partial thromboplastin time (APTT; denoted AA index) was compared with 10 other indices using receiving operating characteristics curves.
The sensitivity and specificity of variables retained by a multivariable analysis as being associated with neurological outcome was evaluated using receiving operating characteristic (ROC) curves with the corresponding area under the curve (AUC).
3. Rerouting using a different operating vehicle .
Rerouting using a different operating vehicle.
Consider using a different operating system.
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