<p>A receiver operating characteristic (ROC) curve was generated for total α-synuclein in iPD patients. The dashed reference line represents the ROC curve for a test with no discriminatory ability. The area under the ROC curve (AUC) is displayed on the graph with the 95% confidence interval shown between the parentheses (0.524–0.667). The level of significance was set at <i>p</i><0.05. No possible cutoff value was derived from the analysis.</p
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
<p>AUC, with 95% CI, is given for each parameter. The parameter results for patients with MS/CIS are...
<p>The area under the ROC curve (AUC) ± standard error was 0.945±0.182 (<i>P</i><0.001). The dotted ...
<p>Receiver-operator characteristic (ROC) curves to evaluate antibody levels against α-synuclein as ...
<p>Curves for α-synuclein and anti-α-synuclein antibody concentrations are shown in Figs. 4a (top) a...
<p>The blue line indicates the prediction scenario using only clinical variables (hippocampal sclero...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>Accuracy of selected candidate biomarkers in discriminating IPF from healthy controls, sarcoidosi...
The area under the curve (AUC) shows the percentage of correct discrimination associating sensitivit...
In this case, we obtain the sensitivity = 80 % (80/100), specificity = 90 % (90/100), PPV = 88.9 % (...
The area under the curve (AUC) shows the percentage of correct discrimination associating sensitivit...
<p>The area under the ROC curve of the early H/M ratio was 0.805 (<i>p</i> < 0.001) for the all pati...
<p>Receiver-operating characteristic (ROC) analysis of absolute and relative presenteeism as indicat...
<p>ROC curve with 95% CI for the differentiation of ADPKD patients from healthy controls by the biom...
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
<p>AUC, with 95% CI, is given for each parameter. The parameter results for patients with MS/CIS are...
<p>The area under the ROC curve (AUC) ± standard error was 0.945±0.182 (<i>P</i><0.001). The dotted ...
<p>Receiver-operator characteristic (ROC) curves to evaluate antibody levels against α-synuclein as ...
<p>Curves for α-synuclein and anti-α-synuclein antibody concentrations are shown in Figs. 4a (top) a...
<p>The blue line indicates the prediction scenario using only clinical variables (hippocampal sclero...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>Accuracy of selected candidate biomarkers in discriminating IPF from healthy controls, sarcoidosi...
The area under the curve (AUC) shows the percentage of correct discrimination associating sensitivit...
In this case, we obtain the sensitivity = 80 % (80/100), specificity = 90 % (90/100), PPV = 88.9 % (...
The area under the curve (AUC) shows the percentage of correct discrimination associating sensitivit...
<p>The area under the ROC curve of the early H/M ratio was 0.805 (<i>p</i> < 0.001) for the all pati...
<p>Receiver-operating characteristic (ROC) analysis of absolute and relative presenteeism as indicat...
<p>ROC curve with 95% CI for the differentiation of ADPKD patients from healthy controls by the biom...
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
<p>AUC, with 95% CI, is given for each parameter. The parameter results for patients with MS/CIS are...
<p>The area under the ROC curve (AUC) ± standard error was 0.945±0.182 (<i>P</i><0.001). The dotted ...