<p>The clinical (dashed line), genetic (dotted line) and combined models (black line) are indicated. The light grey line represents the reference line (AUC 0.5).</p
<p>Area under the curve (AUC) comparing measured PSA, genetically corrected PSA risk score based on ...
<p>Model 1 (black line) is a simple logistic regression model including the individual risk score. M...
ROC curve analysis (sensitivity on y-axis and specificity on x-axis) for all subjects (A) training s...
<p>The black line describes the diagnostic value in men and the red line the diagnostic value in wom...
ROC curves for the mortality model, using test data (AUC values are indicated on the graph).</p
Model A (blue line) incorporates classical risk factors and five GWAS-identified SNPs, whereas model...
<p>The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>ROC curves and AUCs for the clinical (solid blue), ECG (dashed red), and combined (dotted black) ...
<p>ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...
The lower-right inset shows a close-up of the upper-left parts of the AUC curves.</p
<p>AUC values and 95% confidence intervals for F9 (green), CXCL13 (red), C9 (blue), FCN2 (purple) we...
<p>Area under the curve (AUC) for antithrombin III = 0.85, AUC for angiotensinogen = 0.83 and AUC fo...
<p>The ROC curve, obtained from the Plot ROC curve tool in the LigandScout screening module, togethe...
<p>Area under the curve (AUC) comparing measured PSA, genetically corrected PSA risk score based on ...
<p>Model 1 (black line) is a simple logistic regression model including the individual risk score. M...
ROC curve analysis (sensitivity on y-axis and specificity on x-axis) for all subjects (A) training s...
<p>The black line describes the diagnostic value in men and the red line the diagnostic value in wom...
ROC curves for the mortality model, using test data (AUC values are indicated on the graph).</p
Model A (blue line) incorporates classical risk factors and five GWAS-identified SNPs, whereas model...
<p>The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>ROC curves and AUCs for the clinical (solid blue), ECG (dashed red), and combined (dotted black) ...
<p>ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...
The lower-right inset shows a close-up of the upper-left parts of the AUC curves.</p
<p>AUC values and 95% confidence intervals for F9 (green), CXCL13 (red), C9 (blue), FCN2 (purple) we...
<p>Area under the curve (AUC) for antithrombin III = 0.85, AUC for angiotensinogen = 0.83 and AUC fo...
<p>The ROC curve, obtained from the Plot ROC curve tool in the LigandScout screening module, togethe...
<p>Area under the curve (AUC) comparing measured PSA, genetically corrected PSA risk score based on ...
<p>Model 1 (black line) is a simple logistic regression model including the individual risk score. M...
ROC curve analysis (sensitivity on y-axis and specificity on x-axis) for all subjects (A) training s...
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