<p>ROC-curve for the Whiteley Index and sensitivity/specificity as a function of probability cut-off.</p
<p>A ROC curve plots the true positive rate (i.e., sensitivity) against the false positive rate (i.e...
<p>To determine the optimal cut-off point, sensitivity and specificity are plotted against the thres...
A point on the ROC curve shows the most appropriate cutoff value giving by the Youden Index.</p
<p>ROC-curve for the Health Anxiety Inventory and sensitivity/specificity as a function of probabili...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
The black dot on the curve represents cut off the predicted probability (0.339), and sensitivity and...
Where, X-axis (1-specificity) represents the false positives in decoys. Y-axis (sensitivity) represe...
ROC curve showing optimal cut-off value of 3 mm (sensitivity, 0.795; specificity, 0.61).</p
<p>ROC curve modeling the sensitivity versus 1-specificity for variables diagnosing the existence of...
<p>Roc-curves describing the relation between sensitivity and specificity of conscious/unconscious d...
<p>Receiver operating characteristic (ROC) curve indicating specificity and sensitivity of the risk ...
ROC curve using the reference of 5.56% as cut-off point in defining diagnostic performance.</p
<p>ROC curves for the determination of the overall performance of the assay and the optimal cut-off ...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>A ROC curve plots the true positive rate (i.e., sensitivity) against the false positive rate (i.e...
<p>To determine the optimal cut-off point, sensitivity and specificity are plotted against the thres...
A point on the ROC curve shows the most appropriate cutoff value giving by the Youden Index.</p
<p>ROC-curve for the Health Anxiety Inventory and sensitivity/specificity as a function of probabili...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
The black dot on the curve represents cut off the predicted probability (0.339), and sensitivity and...
Where, X-axis (1-specificity) represents the false positives in decoys. Y-axis (sensitivity) represe...
ROC curve showing optimal cut-off value of 3 mm (sensitivity, 0.795; specificity, 0.61).</p
<p>ROC curve modeling the sensitivity versus 1-specificity for variables diagnosing the existence of...
<p>Roc-curves describing the relation between sensitivity and specificity of conscious/unconscious d...
<p>Receiver operating characteristic (ROC) curve indicating specificity and sensitivity of the risk ...
ROC curve using the reference of 5.56% as cut-off point in defining diagnostic performance.</p
<p>ROC curves for the determination of the overall performance of the assay and the optimal cut-off ...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>A ROC curve plots the true positive rate (i.e., sensitivity) against the false positive rate (i.e...
<p>To determine the optimal cut-off point, sensitivity and specificity are plotted against the thres...
A point on the ROC curve shows the most appropriate cutoff value giving by the Youden Index.</p
DOI
Add to ORKG