<p>ROC curves displaying DOC mood optimal diagnostic cut-points, for high sensitivity and specificity and diagnostic cut-points with a logistic regression applied, controlling for age, sex and education.</p
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>ROC curve analysis for the diagnostic abilities of base SBF values in differentiating between hea...
ROC curve using the reference of 5.56% as cut-off point in defining diagnostic performance.</p
<p>The ROC curve for participants diagnosed with SAD and control participants.</p
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>ROC curves including for sedentary, light, moderate and vigorous activity.</p
<p>ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...
ROC curve showing optimal cut-off value of 3 mm (sensitivity, 0.795; specificity, 0.61).</p
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>Constructed ROC curves for functional sensibility and traditional sensibility tests.</p
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>ROC curves for Nevus Doctor with automatic and semi-automatic/manual segmentation.</p
a) ROC curve for discriminating CAD from control. b) ROC curve for discriminating T2DM from control....
<p>ROC curves for the logistic regression models with successive inclusion of the variables: <i>RPAA...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>ROC curve analysis for the diagnostic abilities of base SBF values in differentiating between hea...
ROC curve using the reference of 5.56% as cut-off point in defining diagnostic performance.</p
<p>The ROC curve for participants diagnosed with SAD and control participants.</p
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>ROC curves including for sedentary, light, moderate and vigorous activity.</p
<p>ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...
ROC curve showing optimal cut-off value of 3 mm (sensitivity, 0.795; specificity, 0.61).</p
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>Constructed ROC curves for functional sensibility and traditional sensibility tests.</p
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>ROC curves for Nevus Doctor with automatic and semi-automatic/manual segmentation.</p
a) ROC curve for discriminating CAD from control. b) ROC curve for discriminating T2DM from control....
<p>ROC curves for the logistic regression models with successive inclusion of the variables: <i>RPAA...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>ROC curve analysis for the diagnostic abilities of base SBF values in differentiating between hea...