<p>AUC = area under the curve</p><p>ROC analysis for the prediction of IFD by platelet parameters using the cutoffs with the maximal sum of sensitivity and specificity.</p
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>ROC analysis of edema for fluid overload (AUC = 0.653, sensitivity 0.562, specificity 0.745, P<0....
Areas under the curve (AUC) and 95% confidence intervals (CIs) from receiver-operator characteristic...
<p>PA, platelet aggregation; AUC, area under the curve; CI, confidence interval. Cut off value was c...
Area under the curve (AUC) determined with ROC analyses with respect to prediction of cartilage degr...
<p>The area under the curve (AUC) was 0.853. A cut-off value of CC depth of 115 μm had a sensitivity...
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p
<p>AUC: area under the curve, FPF: false positive fraction, TNF: true negative fraction, TPF: true p...
<p>For each indicator, sensitivity (true positive rate) is plotted against 1-specificity (false posi...
<p>Area under the curve (AUC) was 0.898 (<i>P</i> = 0.000). The cutoff value was 0.882.</p
ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The analysis ...
<p>(<b>A</b>) ROC curve analysis of the indicated baseline factors with the AUC value. A diagonal re...
<p>The sensitivity (y axis) was plotted versus 1−specificity (x axis) in case of each potential biom...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>ROC analysis of edema for fluid overload (AUC = 0.653, sensitivity 0.562, specificity 0.745, P<0....
Areas under the curve (AUC) and 95% confidence intervals (CIs) from receiver-operator characteristic...
<p>PA, platelet aggregation; AUC, area under the curve; CI, confidence interval. Cut off value was c...
Area under the curve (AUC) determined with ROC analyses with respect to prediction of cartilage degr...
<p>The area under the curve (AUC) was 0.853. A cut-off value of CC depth of 115 μm had a sensitivity...
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p
<p>AUC: area under the curve, FPF: false positive fraction, TNF: true negative fraction, TPF: true p...
<p>For each indicator, sensitivity (true positive rate) is plotted against 1-specificity (false posi...
<p>Area under the curve (AUC) was 0.898 (<i>P</i> = 0.000). The cutoff value was 0.882.</p
ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The analysis ...
<p>(<b>A</b>) ROC curve analysis of the indicated baseline factors with the AUC value. A diagonal re...
<p>The sensitivity (y axis) was plotted versus 1−specificity (x axis) in case of each potential biom...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>ROC analysis of edema for fluid overload (AUC = 0.653, sensitivity 0.562, specificity 0.745, P<0....
Areas under the curve (AUC) and 95% confidence intervals (CIs) from receiver-operator characteristic...
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