<p>The curves are based on risk-prediction models incorporating 16 clinical covariates that either include the PCI or did not include PCI. The area under the ROC curve (AUC) for mortalities was 0.841(0.824–0.858) and 0.819(0.799–0.839) for the risk model with and without the PCI separately (both <i>P</i><0.001).</p
<p>Receiver operating characteristic (ROC) curves for RDW measured within 24 hours of PICU admission...
ROC curve analysis showing the performance of past 40 days corticosteroid dose before PcP first visi...
<p>The areas under the ROC curve (AOC) of the MELD and ΔMELD are 0.929 (95% CI = 0.818–1.000; <i>p</...
<p>AUC area under curve by Hanley method to calculate standard errors, CI 95% confidential intervals...
<p>The area under the ROC curve = 0.8803 for NT-proBNP and 0.8701 for Pneumonia Severity Index class...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>Comparisons of receiver operating characteristic (ROC) curves for a clinical model (including age...
<p><i>MPM<sub>0</sub>-III = Mortality Probability Admission Model, version III. R-MPM = Rwanda Morta...
<p>Receiver operating characteristic (ROC) curves for PCT, SAA, IL-6, and CRP for AKI prognosis.</p
<p>Area under the curve (AUC) of baseline MPV and ΔMPV<sub>72h-adm</sub> were 0.653 and 0.698, respe...
<p>Fig 5a. ROC curves for different biomarkers and PSI. Fig 5b. ROC curves for the PSI & MR-proADM p...
Receiver Operating Characteristic (ROC) curve for the best cut-off point of Glasgow Coma Scale (GCS)...
<p>ROC curves for prediction of death within 5 years from baseline measurements of CD4% and the biom...
Comparison of receiving operating curves (ROC) for prediction of ICU-mortality. Lactate AUROC = 0.79...
<p>Receiver operating characteristic (ROC) curves for RDW measured within 24 hours of PICU admission...
ROC curve analysis showing the performance of past 40 days corticosteroid dose before PcP first visi...
<p>The areas under the ROC curve (AOC) of the MELD and ΔMELD are 0.929 (95% CI = 0.818–1.000; <i>p</...
<p>AUC area under curve by Hanley method to calculate standard errors, CI 95% confidential intervals...
<p>The area under the ROC curve = 0.8803 for NT-proBNP and 0.8701 for Pneumonia Severity Index class...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>Comparisons of receiver operating characteristic (ROC) curves for a clinical model (including age...
<p><i>MPM<sub>0</sub>-III = Mortality Probability Admission Model, version III. R-MPM = Rwanda Morta...
<p>Receiver operating characteristic (ROC) curves for PCT, SAA, IL-6, and CRP for AKI prognosis.</p
<p>Area under the curve (AUC) of baseline MPV and ΔMPV<sub>72h-adm</sub> were 0.653 and 0.698, respe...
<p>Fig 5a. ROC curves for different biomarkers and PSI. Fig 5b. ROC curves for the PSI & MR-proADM p...
Receiver Operating Characteristic (ROC) curve for the best cut-off point of Glasgow Coma Scale (GCS)...
<p>ROC curves for prediction of death within 5 years from baseline measurements of CD4% and the biom...
Comparison of receiving operating curves (ROC) for prediction of ICU-mortality. Lactate AUROC = 0.79...
<p>Receiver operating characteristic (ROC) curves for RDW measured within 24 hours of PICU admission...
ROC curve analysis showing the performance of past 40 days corticosteroid dose before PcP first visi...
<p>The areas under the ROC curve (AOC) of the MELD and ΔMELD are 0.929 (95% CI = 0.818–1.000; <i>p</...