<p>(a) Receiver-operator curve (ROC) analysis plot of the true positives plotted as a function of the false-positives (100-specificity) at different cutoffs of the risk score. Gray bands represent the 95% CI of the plot. The dotted line represents a reference line no discrimination for invasive mold disease (aROC=0.5). The <i>P</i> value is the probability that the aROC differs significantly from aROC=0.5; (b) Plot of sensitivity and specificity versus risk score. The highest sensitivity (true positive rate) and specificity (true negative rate) meet at a score just below 6, suggesting a criterion value of > 6.</p
<p>ROC-curve for the Whiteley Index and sensitivity/specificity as a function of probability cut-off...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
Receiver operating characteristic (ROC) plots are graphical plots illustrating the sensitivity (-axi...
<p>The most suitable cutoff was defined as that closest to the upper left corner. A, A PFS-HR of 0.6...
In this case, we obtain the sensitivity = 80 % (80/100), specificity = 90 % (90/100), PPV = 88.9 % (...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>Note- EZ-MAP, “one vs. many” T, and Z-scores were thresholded at α<sub>1</sub> = 0.05 (2-tails); ...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
£<p>The number of patients that have a RS of less than the chosen threshold.</p>€<p>The number of ca...
<p>AUC: area under the curve, FPF: false positive fraction, TNF: true negative fraction, TPF: true p...
<p>The most discriminative cut-off value of MLR was 0.262 with an AUC value of 0.667 (p = 0.028). Th...
<p>ROC curves (a plot of true positive rate (Sensitivity) against false positive rate (1-Specificity...
ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The analysis ...
<p>To determine the optimal cut-off point, sensitivity and specificity are plotted against the thres...
<p>ROC-curve for the Whiteley Index and sensitivity/specificity as a function of probability cut-off...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
Receiver operating characteristic (ROC) plots are graphical plots illustrating the sensitivity (-axi...
<p>The most suitable cutoff was defined as that closest to the upper left corner. A, A PFS-HR of 0.6...
In this case, we obtain the sensitivity = 80 % (80/100), specificity = 90 % (90/100), PPV = 88.9 % (...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>Note- EZ-MAP, “one vs. many” T, and Z-scores were thresholded at α<sub>1</sub> = 0.05 (2-tails); ...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
£<p>The number of patients that have a RS of less than the chosen threshold.</p>€<p>The number of ca...
<p>AUC: area under the curve, FPF: false positive fraction, TNF: true negative fraction, TPF: true p...
<p>The most discriminative cut-off value of MLR was 0.262 with an AUC value of 0.667 (p = 0.028). Th...
<p>ROC curves (a plot of true positive rate (Sensitivity) against false positive rate (1-Specificity...
ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The analysis ...
<p>To determine the optimal cut-off point, sensitivity and specificity are plotted against the thres...
<p>ROC-curve for the Whiteley Index and sensitivity/specificity as a function of probability cut-off...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
Receiver operating characteristic (ROC) plots are graphical plots illustrating the sensitivity (-axi...