<p>The areas under the ROC curve (AUC), sensitivity and specificity by the optimized cut-off points for metabolic risk factors associated with the presence of albuminuria (> 30mg/day).</p
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
Areas under ROC curves of body fat anthropometric indexes according to high CV risk estimated with S...
<p>ROC curve analysis for anthropometric measures a metabolic syndrome (ATP III criteria).</p
<p>The comparison of area under an ROC curve (AUC) between traditional diabetic risk factors and ser...
AUC value (0.708) of prealbumin was larger than either 1/APR (0.664) or albumin (0.651). The optimal...
Areas under the curve (AUC) and 95% confidence intervals (CIs) from receiver-operator characteristic...
<p>Optimal cut-off, area under the ROC-curve (Area), and diagnostic sensitivity and specificity of s...
<p>ROC curve with AUC for urine IgG to albumin ratio at the time of diagnosis.</p
Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...
<p>The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...
<p>ROC curves for detecting individually each metabolic syndrome criteria. The small circles indicat...
<p>Using a cut-off point of 83 ng/ml ROC analysis revealed an area under curve (AUC) of 0.968 (p<0.0...
<p>Note: Values expressed as AUC ± SE (95% confidence interval) and cutoff level, sensitivity/specif...
ROC curves at 30% and 70% G6PD activity thresholds on A) capillary specimens and B) venous specimens...
Areas under ROC curves of body fat anthropometric indexes according to high CV risk estimated with F...
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
Areas under ROC curves of body fat anthropometric indexes according to high CV risk estimated with S...
<p>ROC curve analysis for anthropometric measures a metabolic syndrome (ATP III criteria).</p
<p>The comparison of area under an ROC curve (AUC) between traditional diabetic risk factors and ser...
AUC value (0.708) of prealbumin was larger than either 1/APR (0.664) or albumin (0.651). The optimal...
Areas under the curve (AUC) and 95% confidence intervals (CIs) from receiver-operator characteristic...
<p>Optimal cut-off, area under the ROC-curve (Area), and diagnostic sensitivity and specificity of s...
<p>ROC curve with AUC for urine IgG to albumin ratio at the time of diagnosis.</p
Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...
<p>The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...
<p>ROC curves for detecting individually each metabolic syndrome criteria. The small circles indicat...
<p>Using a cut-off point of 83 ng/ml ROC analysis revealed an area under curve (AUC) of 0.968 (p<0.0...
<p>Note: Values expressed as AUC ± SE (95% confidence interval) and cutoff level, sensitivity/specif...
ROC curves at 30% and 70% G6PD activity thresholds on A) capillary specimens and B) venous specimens...
Areas under ROC curves of body fat anthropometric indexes according to high CV risk estimated with F...
<p>ROC curves analyses to represent sensitivity/specificity of each biomarker, and the Area Under th...
Areas under ROC curves of body fat anthropometric indexes according to high CV risk estimated with S...
<p>ROC curve analysis for anthropometric measures a metabolic syndrome (ATP III criteria).</p