<p>The sensitivity (y axis) was plotted versus 1−specificity (x axis) in case of each potential biomarker alone or in combinations. The area under the curve is indicated on each pane. The sensitivity and specificity was calculated for each biomarkers and biomarker combination.</p
<p>Based on the area under the ROC curve (AUROC), Youden Index cutoff values that maximized the sum ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
In receiver operating characteristic (ROC) curve analysis, the area under the curve (AUC) is undoubt...
<p>Predictive ability of the biomarkers measured as assessed by area under the ROC curve analyses.</...
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
ROC curve analysis (sensitivity on y-axis and specificity on x-axis) for all subjects (A) training s...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
<p>Accuracy of selected candidate biomarkers in discriminating IPF from healthy controls, sarcoidosi...
<p>A sensitivity and specificity were 92.3% and 68.0%, respectively, and the value of AUC was 0.812....
<p>In training set (A), at each immunohistochemical staining score of 38 tissue molecules and 3 sero...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<p>A receiver operating characteristic (ROC) curve was generated for each biomarker. The dashed refe...
<p>The ROC analysis and curves are shown comparing between ACCP- and early RA subjects for all mRNAs...
<p>ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p
<p>ROC analysis of sensitivity versus 1-specificity in the disease diagnosis for proposed measuremen...
<p>Based on the area under the ROC curve (AUROC), Youden Index cutoff values that maximized the sum ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
In receiver operating characteristic (ROC) curve analysis, the area under the curve (AUC) is undoubt...
<p>Predictive ability of the biomarkers measured as assessed by area under the ROC curve analyses.</...
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
ROC curve analysis (sensitivity on y-axis and specificity on x-axis) for all subjects (A) training s...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
<p>Accuracy of selected candidate biomarkers in discriminating IPF from healthy controls, sarcoidosi...
<p>A sensitivity and specificity were 92.3% and 68.0%, respectively, and the value of AUC was 0.812....
<p>In training set (A), at each immunohistochemical staining score of 38 tissue molecules and 3 sero...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<p>A receiver operating characteristic (ROC) curve was generated for each biomarker. The dashed refe...
<p>The ROC analysis and curves are shown comparing between ACCP- and early RA subjects for all mRNAs...
<p>ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p
<p>ROC analysis of sensitivity versus 1-specificity in the disease diagnosis for proposed measuremen...
<p>Based on the area under the ROC curve (AUROC), Youden Index cutoff values that maximized the sum ...
<p><b>Copyright information:</b></p><p>Taken from "Prediction potential of candidate biomarker sets ...
In receiver operating characteristic (ROC) curve analysis, the area under the curve (AUC) is undoubt...