<p>Accuracy of selected candidate biomarkers in discriminating IPF from healthy controls, sarcoidosis and HP was evaluated using receiver operating characteristic (ROC) curves. The area under the ROC curve AUC > 0.7 was considered in deciding if a given biomarker was informative in discriminating compared groups from each other.</p
<p>A receiver-operating curve (ROC) was generated as a preliminary estimate of the accuracy of relat...
<p>Uniprot accession, full protein name (description), Area under the curve (AUC), 95% confidence in...
<p>The curve describes the tradeoff between sensitivity and specificity at different thresholds for ...
<p>The sensitivity (y axis) was plotted versus 1−specificity (x axis) in case of each potential biom...
<p>The ROC analysis and curves are shown comparing between ACCP- and early RA subjects for all mRNAs...
ROC curves to determine the predictive ability of the protein panel (17 proteins associated with the...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
<p>A. Receiver operator characteristic curve (ROC) analysis of subset groups A (cytokines only), B (...
ROC curves for the accuracy of single markers [IL-4 (A), IL-6 (B), CCL4 (C), CXCL8 (D), CXCL10 (E), ...
<p>Single proteins (A) and multi-marker models (B) were used for the classification analyses. For mu...
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
<p>Area under the curve, sensitivity and specificity are indicated for each biomarker.</p
<p>In training set (A), at each immunohistochemical staining score of 38 tissue molecules and 3 sero...
<p>ROC curve analysis for the diagnostic abilities of base SBF values in differentiating between hea...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
<p>A receiver-operating curve (ROC) was generated as a preliminary estimate of the accuracy of relat...
<p>Uniprot accession, full protein name (description), Area under the curve (AUC), 95% confidence in...
<p>The curve describes the tradeoff between sensitivity and specificity at different thresholds for ...
<p>The sensitivity (y axis) was plotted versus 1−specificity (x axis) in case of each potential biom...
<p>The ROC analysis and curves are shown comparing between ACCP- and early RA subjects for all mRNAs...
ROC curves to determine the predictive ability of the protein panel (17 proteins associated with the...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
<p>A. Receiver operator characteristic curve (ROC) analysis of subset groups A (cytokines only), B (...
ROC curves for the accuracy of single markers [IL-4 (A), IL-6 (B), CCL4 (C), CXCL8 (D), CXCL10 (E), ...
<p>Single proteins (A) and multi-marker models (B) were used for the classification analyses. For mu...
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
<p>Area under the curve, sensitivity and specificity are indicated for each biomarker.</p
<p>In training set (A), at each immunohistochemical staining score of 38 tissue molecules and 3 sero...
<p>ROC curve analysis for the diagnostic abilities of base SBF values in differentiating between hea...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
<p>A receiver-operating curve (ROC) was generated as a preliminary estimate of the accuracy of relat...
<p>Uniprot accession, full protein name (description), Area under the curve (AUC), 95% confidence in...
<p>The curve describes the tradeoff between sensitivity and specificity at different thresholds for ...