<p>ROCs curve were developed using the risk scores which are calculated using the weights of different predictors. The weights were developed based on the coefficients of predictors in the backward logistic regression model in the training cohort.</p
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
<p>ROC curve for the relationship between Framingham risk score and carotid plaque.</p
<p>ROC Curve of the Predictive Model of Pressure Ulcers in Patients with Hip Fractures.</p
<p>ROCs curve were developed using the risk scores which are calculated by the weights of different ...
<p>The ROC curve is based upon a logistic regression model for CCR7+ Treg predicting BOS outcome, wh...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
<p>A, ROC curve of average endoscopic reading (AUC = 0.534; SE = 0.138; asymptotic significance = 0....
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...
<p>The ROC curves are plotted for the experienced (top row) and trainee (bottom row) for all 288 bre...
<p>(A) Time-dependent ROC analyses in the training cohort. (B) Time-dependent ROC analyses in the te...
<p>The ROC AUC was 0.7686. The straight line represented the ROC curve expected by chance alone.</p
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
<p>ROC curve for the relationship between Framingham risk score and carotid plaque.</p
<p>ROC Curve of the Predictive Model of Pressure Ulcers in Patients with Hip Fractures.</p
<p>ROCs curve were developed using the risk scores which are calculated by the weights of different ...
<p>The ROC curve is based upon a logistic regression model for CCR7+ Treg predicting BOS outcome, wh...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
<p>A, ROC curve of average endoscopic reading (AUC = 0.534; SE = 0.138; asymptotic significance = 0....
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...
<p>The ROC curves are plotted for the experienced (top row) and trainee (bottom row) for all 288 bre...
<p>(A) Time-dependent ROC analyses in the training cohort. (B) Time-dependent ROC analyses in the te...
<p>The ROC AUC was 0.7686. The straight line represented the ROC curve expected by chance alone.</p
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
<p>ROC curve for the relationship between Framingham risk score and carotid plaque.</p
<p>ROC Curve of the Predictive Model of Pressure Ulcers in Patients with Hip Fractures.</p