<p>ROC curves plotted for the results of leave-one-out cross validation using logistic regression with only age (dashed), age and CAD (solid), and all variables (dotted) included in classification. Including CAD in classification yields significantly better results (p = 0.04) than only classifying on age. Including all variables yielded the highest area under the curve, but was not significantly better than classifying with only age and CAD (p = 0.28).</p
<p>Model results are shown using all available variables (closed triangles, solid line), for a parsi...
<p>A. Predictive ability of the full and “conventional” models in the original population. ROC Curve...
<div><p>ROC analysis included 136 patients with no myocardial injury as a negative group and 16 pati...
<p>A1 and B1 show the discriminative curve under extreme case-control design for male and female res...
Based on c-statistics, the area under the curve (AUC) for age was 0.632 [95% CI 0.569–0.696], and th...
Receiver operating curves for prediction of age and volume as diagnostic suitable variables for vasc...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p><b>Copyright information:</b></p><p>Taken from "A comparative analysis of predictive models of mo...
<p>Receiver-operating characteristic (ROC) curves for detection of ≥50% stenosis on per-patient (A),...
<p>For GRACE score alone, the area under the curve (AUC) was 0.749 (95% CI: 0.707–0.787). When RDW w...
<p>The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...
<p>Receiver operating characteristic (ROC) curve analysis and cutoff value for the severity of steno...
<p>AUC = area under the receiver-operating characteristics curve; CI = confidence interval.</p
<p>ROC curves of three regression models to distinguish between (A) asymptomatic group and ACS group...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
<p>Model results are shown using all available variables (closed triangles, solid line), for a parsi...
<p>A. Predictive ability of the full and “conventional” models in the original population. ROC Curve...
<div><p>ROC analysis included 136 patients with no myocardial injury as a negative group and 16 pati...
<p>A1 and B1 show the discriminative curve under extreme case-control design for male and female res...
Based on c-statistics, the area under the curve (AUC) for age was 0.632 [95% CI 0.569–0.696], and th...
Receiver operating curves for prediction of age and volume as diagnostic suitable variables for vasc...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p><b>Copyright information:</b></p><p>Taken from "A comparative analysis of predictive models of mo...
<p>Receiver-operating characteristic (ROC) curves for detection of ≥50% stenosis on per-patient (A),...
<p>For GRACE score alone, the area under the curve (AUC) was 0.749 (95% CI: 0.707–0.787). When RDW w...
<p>The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...
<p>Receiver operating characteristic (ROC) curve analysis and cutoff value for the severity of steno...
<p>AUC = area under the receiver-operating characteristics curve; CI = confidence interval.</p
<p>ROC curves of three regression models to distinguish between (A) asymptomatic group and ACS group...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
<p>Model results are shown using all available variables (closed triangles, solid line), for a parsi...
<p>A. Predictive ability of the full and “conventional” models in the original population. ROC Curve...
<div><p>ROC analysis included 136 patients with no myocardial injury as a negative group and 16 pati...