ROC curve showing optimal cut-off value of 3 mm (sensitivity, 0.795; specificity, 0.61).</p
<p>AUC: area under the curve, FPF: false positive fraction, TNF: true negative fraction, TPF: true p...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
<p>Sensitivity (Sens), specificity (Spec), and distance in the receiver operating characteristic (RO...
<p>To determine the optimal cut-off point, sensitivity and specificity are plotted against the thres...
Optimal cut off value receiver operating characteristic (ROC) curve of the mean ADC with an area und...
Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...
The black dot on the curve represents cut off the predicted probability (0.339), and sensitivity and...
<p>The most discriminative cut-off value of MLR was 0.262 with an AUC value of 0.667 (p = 0.028). Th...
<p>Optimal cut-off, area under the ROC-curve (Area), and diagnostic sensitivity and specificity of s...
ROC curve using the reference of 5.56% as cut-off point in defining diagnostic performance.</p
ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The analysis ...
<p>ROC analysis with area under the curve, optimal cut off and respective sensitivity and specificit...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>ROC-curve for the Whiteley Index and sensitivity/specificity as a function of probability cut-off...
<p>ROC curves for the determination of the overall performance of the assay and the optimal cut-off ...
<p>AUC: area under the curve, FPF: false positive fraction, TNF: true negative fraction, TPF: true p...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
<p>Sensitivity (Sens), specificity (Spec), and distance in the receiver operating characteristic (RO...
<p>To determine the optimal cut-off point, sensitivity and specificity are plotted against the thres...
Optimal cut off value receiver operating characteristic (ROC) curve of the mean ADC with an area und...
Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...
The black dot on the curve represents cut off the predicted probability (0.339), and sensitivity and...
<p>The most discriminative cut-off value of MLR was 0.262 with an AUC value of 0.667 (p = 0.028). Th...
<p>Optimal cut-off, area under the ROC-curve (Area), and diagnostic sensitivity and specificity of s...
ROC curve using the reference of 5.56% as cut-off point in defining diagnostic performance.</p
ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The analysis ...
<p>ROC analysis with area under the curve, optimal cut off and respective sensitivity and specificit...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>ROC-curve for the Whiteley Index and sensitivity/specificity as a function of probability cut-off...
<p>ROC curves for the determination of the overall performance of the assay and the optimal cut-off ...
<p>AUC: area under the curve, FPF: false positive fraction, TNF: true negative fraction, TPF: true p...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
<p>Sensitivity (Sens), specificity (Spec), and distance in the receiver operating characteristic (RO...
DOI
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