<p>Sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (NPV), and accuracy (AC) are each given in percent using optimal cut-off as determined by ROC analysis. Relative risk (RR) was calculated. TLCRR = tumor-to-liver count-rate ratio, NSE = neuron-specific enolase, ROC = receiver-operating-characteristic.</p
<p>The sensitivity, specificity, and accuracy of CEA, CA19-9, and the prediction model were calculat...
<p>The ROC analyses indicate the threshold for M65 (a) and M30 (b) for the best compromise sensitivi...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>Receiver-operating-characteristic (ROC) is given for TLCRR (dashed line) and serum NSE (continuou...
<p>ROC curves for the combination of AFP and satellite nodules, miR-200a and the combination of AFP,...
<p>The score performance was assessed by calculating the area under the ROC (AUROC) which was 0.861 ...
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>ROC analysis was performed to predict the diagnostic accuracy of malignant nodules on SWV value.<...
Our aim was to improve the prediction of unfavorable histopathology (UH) in neuroblastic tumors thro...
Our aim was to improve the prediction of unfavorable histopathology (UH) in neuroblastic tumors thro...
Objectives Our aim was to improve the prediction of unfavorable histopathology (UH) in neuroblastic ...
<p>For invasive adenocarcinoma prediction, ROC curve based on the combination of the 75<sup>th</sup>...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
<p>Receiver operating characteristic (ROC) curve analysis for prediction of mortality by red cell di...
<p>ROC analyses of the sensitivity and specificity for the prediction of overall survival by the com...
<p>The sensitivity, specificity, and accuracy of CEA, CA19-9, and the prediction model were calculat...
<p>The ROC analyses indicate the threshold for M65 (a) and M30 (b) for the best compromise sensitivi...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>Receiver-operating-characteristic (ROC) is given for TLCRR (dashed line) and serum NSE (continuou...
<p>ROC curves for the combination of AFP and satellite nodules, miR-200a and the combination of AFP,...
<p>The score performance was assessed by calculating the area under the ROC (AUROC) which was 0.861 ...
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>ROC analysis was performed to predict the diagnostic accuracy of malignant nodules on SWV value.<...
Our aim was to improve the prediction of unfavorable histopathology (UH) in neuroblastic tumors thro...
Our aim was to improve the prediction of unfavorable histopathology (UH) in neuroblastic tumors thro...
Objectives Our aim was to improve the prediction of unfavorable histopathology (UH) in neuroblastic ...
<p>For invasive adenocarcinoma prediction, ROC curve based on the combination of the 75<sup>th</sup>...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
<p>Receiver operating characteristic (ROC) curve analysis for prediction of mortality by red cell di...
<p>ROC analyses of the sensitivity and specificity for the prediction of overall survival by the com...
<p>The sensitivity, specificity, and accuracy of CEA, CA19-9, and the prediction model were calculat...
<p>The ROC analyses indicate the threshold for M65 (a) and M30 (b) for the best compromise sensitivi...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...