<p>The Receiver Operating Characteristic curves of the conventional risk factors model with the largest average 10-fold cross-validation area under the curve value.</p
<p>ROC curves for combined risk factors (RF) alone, TRAIL alone, and the model. TRAIL: AUC 0.59 (95%...
<p>Sensitivity and specificity was maximized at a sensitivity of 0.858 and specificity of 0.623.</p
<p>A<sub>z</sub> (Area Under the Curve) and 95% confidence interval in parenthesis.</p
<p>Receiver operating characteristic (ROC) curve for the predictive model (risk score equation) for ...
<p>Receiver Operating Characteristic curve (ROC) curve associated with the logistic regression model...
<p>Receiver operating characteristic (ROC) curves and corresponding areas under the curve (AUCs) com...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>ROC curves of three regression models to distinguish between (A) asymptomatic group and ACS group...
<p>Receiver operating characteristic (ROC) curve indicating specificity and sensitivity of the risk ...
<p>The areas under the ROC curves (AUC) as measures of predictive power for risk-assessment models b...
<p>The area under the ROC (AUC) = 0.997 (95% confidence interval [CI] 0.991 to 1.000, <i>P</i><0.001...
<p>ROC curves of TPR versus FPR for optimal sets of biomarkers where averaged over SSVM models. T...
<p>Receiver Operating Curves (ROC) for the two multivariate models including asbestos exposure 1) wi...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
<p>Receiver operating characteristic (ROC) curve plots for TG-AUC predicting diabetes risk.</p
<p>ROC curves for combined risk factors (RF) alone, TRAIL alone, and the model. TRAIL: AUC 0.59 (95%...
<p>Sensitivity and specificity was maximized at a sensitivity of 0.858 and specificity of 0.623.</p
<p>A<sub>z</sub> (Area Under the Curve) and 95% confidence interval in parenthesis.</p
<p>Receiver operating characteristic (ROC) curve for the predictive model (risk score equation) for ...
<p>Receiver Operating Characteristic curve (ROC) curve associated with the logistic regression model...
<p>Receiver operating characteristic (ROC) curves and corresponding areas under the curve (AUCs) com...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>ROC curves of three regression models to distinguish between (A) asymptomatic group and ACS group...
<p>Receiver operating characteristic (ROC) curve indicating specificity and sensitivity of the risk ...
<p>The areas under the ROC curves (AUC) as measures of predictive power for risk-assessment models b...
<p>The area under the ROC (AUC) = 0.997 (95% confidence interval [CI] 0.991 to 1.000, <i>P</i><0.001...
<p>ROC curves of TPR versus FPR for optimal sets of biomarkers where averaged over SSVM models. T...
<p>Receiver Operating Curves (ROC) for the two multivariate models including asbestos exposure 1) wi...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
<p>Receiver operating characteristic (ROC) curve plots for TG-AUC predicting diabetes risk.</p
<p>ROC curves for combined risk factors (RF) alone, TRAIL alone, and the model. TRAIL: AUC 0.59 (95%...
<p>Sensitivity and specificity was maximized at a sensitivity of 0.858 and specificity of 0.623.</p
<p>A<sub>z</sub> (Area Under the Curve) and 95% confidence interval in parenthesis.</p
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