<p>Receiver-operating-characteristic (ROC) is given for TLCRR (dashed line) and serum NSE (continuous line). AUC-ROC was 0.86 for TLCRR. Optimal cut-off determined by the Youden index was 2.0 (*), resulting in a sensitivity of 68% and a specificity of 100%. AUC-ROC was 0.81 for serum NSE. Optimal cut-off was 25.8 ng/ml (**) with a sensitivity of 74% and a specificity of 85%. AUC-ROC = area under the receiver-operating-characteristic, TLCRR = tumor-to-liver count-rate ratio, NSE = neuron-specific enolase.</p
<p>The sensitivity and specificity for each clinical outcome were plotted (A–F). Accuracy was measur...
Receiver operating curves for prediction of volume as diagnostic suitable variables for final outcom...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>Sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (N...
<p>Receiver-operating characteristics (ROC) curve to calculate sensitivity and specificity of circul...
<p>The score performance was assessed by calculating the area under the ROC (AUROC) which was 0.861 ...
<p>The most suitable cutoff was defined as that closest to the upper left corner. A, A PFS-HR of 0.6...
<p>Based on the area under the ROC curve (AUROC), Youden Index cutoff values that maximized the sum ...
<p>*ROC plot for diagnostic accuracy presents true positive rate vs. false positive rate (or sensiti...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
(A) The combination of the EOS% and BAS% (orange line) had an AUC of 0.82 (P = 0.000); AST (blue lin...
<p>Samples were from 65 PCM patient sera and 99 control sera, including patients with histoplasmosis...
<p>Abbreviations: AUROCC, area under receiver operating characteristic curve; CHI3L1, Chitinase 3-li...
<p>The area under the ROC curve (AUC) ± standard error was 0.945±0.182 (<i>P</i><0.001). The dotted ...
<p>The sensitivity and specificity for each clinical outcome were plotted (A–F). Accuracy was measur...
Receiver operating curves for prediction of volume as diagnostic suitable variables for final outcom...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>Sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (N...
<p>Receiver-operating characteristics (ROC) curve to calculate sensitivity and specificity of circul...
<p>The score performance was assessed by calculating the area under the ROC (AUROC) which was 0.861 ...
<p>The most suitable cutoff was defined as that closest to the upper left corner. A, A PFS-HR of 0.6...
<p>Based on the area under the ROC curve (AUROC), Youden Index cutoff values that maximized the sum ...
<p>*ROC plot for diagnostic accuracy presents true positive rate vs. false positive rate (or sensiti...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
(A) The combination of the EOS% and BAS% (orange line) had an AUC of 0.82 (P = 0.000); AST (blue lin...
<p>Samples were from 65 PCM patient sera and 99 control sera, including patients with histoplasmosis...
<p>Abbreviations: AUROCC, area under receiver operating characteristic curve; CHI3L1, Chitinase 3-li...
<p>The area under the ROC curve (AUC) ± standard error was 0.945±0.182 (<i>P</i><0.001). The dotted ...
<p>The sensitivity and specificity for each clinical outcome were plotted (A–F). Accuracy was measur...
Receiver operating curves for prediction of volume as diagnostic suitable variables for final outcom...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...