<p>Abbreviations: Sens = sensitivity; Spec = specificity; PPV = positive predictive value; NPV = negative predictive value; GV: global value; LR+ = positive likelihood ratio; LR- = negative likehood ratio; OR = odds ratio; NA = non-available.</p
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>Fig 5 shows the combined ROC curves generated for the IgG index and the sCD163 ratio (5a), the CX...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
<p>The x-axis is the false- positive rate, 1 –specificity; the y-axis is the true- positive rate, se...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<p>ROC curve for predictive value of cytokines for GNB in patients with sepsis or intracranial infec...
<p>The blue line indicates the prediction scenario using only clinical variables (hippocampal sclero...
ROC curves to predict: Severe diseases among all illness episodes, severe pneumonia among all pneumo...
ROC curves stratified by age to predict: Severe diseases among all illness episodes, severe pneumoni...
<p>ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>The ROC curve is based upon a logistic regression model for CCR7+ Treg predicting BOS outcome, wh...
<p>ROCs curve were developed using the risk scores which are calculated by the weights of different ...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
<p><b>Note</b>. +LR, positive likelihood ratio; -LR, negative likelihood ratio; +PV, positive predic...
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>Fig 5 shows the combined ROC curves generated for the IgG index and the sCD163 ratio (5a), the CX...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
<p>The x-axis is the false- positive rate, 1 –specificity; the y-axis is the true- positive rate, se...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<p>ROC curve for predictive value of cytokines for GNB in patients with sepsis or intracranial infec...
<p>The blue line indicates the prediction scenario using only clinical variables (hippocampal sclero...
ROC curves to predict: Severe diseases among all illness episodes, severe pneumonia among all pneumo...
ROC curves stratified by age to predict: Severe diseases among all illness episodes, severe pneumoni...
<p>ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>The ROC curve is based upon a logistic regression model for CCR7+ Treg predicting BOS outcome, wh...
<p>ROCs curve were developed using the risk scores which are calculated by the weights of different ...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
<p><b>Note</b>. +LR, positive likelihood ratio; -LR, negative likelihood ratio; +PV, positive predic...
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>Fig 5 shows the combined ROC curves generated for the IgG index and the sCD163 ratio (5a), the CX...
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p