<p>Receiver operating characteristic (ROC) curves for RDW measured within 24 hours of PICU admission to predict PICU LOS >48 hours (a) and all-cause PICU mortality (b). AUROC is the area under the ROC curve.</p
<p>Receiver operating characteristic (ROC) curves were utilized to evaluate the accuracy of D-dimer ...
<p>The curves are based on risk-prediction models incorporating 16 clinical covariates that either i...
<p>Receiver operating characteristic (ROC) curves for PCT, SAA, IL-6, and CRP for predicting AKI in ...
<p>Receiver operating characteristic (ROC) curve analysis for prediction of mortality by red cell di...
<p>Receiver operation characteristic (ROC) curve using red blood cell distribution width (RDW) at da...
<p>Area under the curve (AUC) of baseline MPV and ΔMPV<sub>72h-adm</sub> were 0.653 and 0.698, respe...
<p>Receiver operating characteristic (ROC) curves for PCT, SAA, IL-6, and CRP for AKI prognosis.</p
<p>Receiver operating characteristic (ROC) curve for the predictive model (risk score equation) for ...
<p>AUC area under curve by Hanley method to calculate standard errors, CI 95% confidential intervals...
<p>ROC curve on number of VEBs and major cardiac events (considered as sudden cardiac death or ICD i...
Receiver operating curves for prediction of volume as diagnostic suitable variables for final outcom...
<p>The area under the ROC curve = 0.8803 for NT-proBNP and 0.8701 for Pneumonia Severity Index class...
<p>For GRACE score alone, the area under the curve (AUC) was 0.749 (95% CI: 0.707–0.787). When RDW w...
<p>Receiver operating characteristic (ROC) curve analysis for the established prognostic model of ac...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Receiver operating characteristic (ROC) curves were utilized to evaluate the accuracy of D-dimer ...
<p>The curves are based on risk-prediction models incorporating 16 clinical covariates that either i...
<p>Receiver operating characteristic (ROC) curves for PCT, SAA, IL-6, and CRP for predicting AKI in ...
<p>Receiver operating characteristic (ROC) curve analysis for prediction of mortality by red cell di...
<p>Receiver operation characteristic (ROC) curve using red blood cell distribution width (RDW) at da...
<p>Area under the curve (AUC) of baseline MPV and ΔMPV<sub>72h-adm</sub> were 0.653 and 0.698, respe...
<p>Receiver operating characteristic (ROC) curves for PCT, SAA, IL-6, and CRP for AKI prognosis.</p
<p>Receiver operating characteristic (ROC) curve for the predictive model (risk score equation) for ...
<p>AUC area under curve by Hanley method to calculate standard errors, CI 95% confidential intervals...
<p>ROC curve on number of VEBs and major cardiac events (considered as sudden cardiac death or ICD i...
Receiver operating curves for prediction of volume as diagnostic suitable variables for final outcom...
<p>The area under the ROC curve = 0.8803 for NT-proBNP and 0.8701 for Pneumonia Severity Index class...
<p>For GRACE score alone, the area under the curve (AUC) was 0.749 (95% CI: 0.707–0.787). When RDW w...
<p>Receiver operating characteristic (ROC) curve analysis for the established prognostic model of ac...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Receiver operating characteristic (ROC) curves were utilized to evaluate the accuracy of D-dimer ...
<p>The curves are based on risk-prediction models incorporating 16 clinical covariates that either i...
<p>Receiver operating characteristic (ROC) curves for PCT, SAA, IL-6, and CRP for predicting AKI in ...
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