<p>ROC-curves for the multivariate regression model and the two variable selection methods for the prediction of deficit outliers (outlier selection with IQR method) (n = 8,892, test set).</p
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>(A) ROC curves for similarity-based covariates; (B) ROC curves for non-similarity covariates; (C)...
<p>ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...
<p>ROC-curves for multivariate regression model and the two variable selection methods for the predi...
<p>Outliers were selected with the IQR method. Results are given as area under the curve (AUC) for a...
<p>ROC curve for the multiple logistic regression model for CMV serostatus using a set of selected p...
<p>ROC Curve of the linear regression equation proposed as a prediction model for AHI.</p
<p>Statistical analysis of areas under the ROC curve for the cross-validated multivariate models.</p
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>ROC curve of predictive logistic regression model for depression according to the scores of the P...
<p>ROC curve for the multivariate logistic regression model predicting initial low back pain occurre...
ROC curves for logistic regression models for each outcome, using pre-specified predictor variable s...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
ROC curve analysis of multivariate regression model of AKI among dengue patients.</p
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>(A) ROC curves for similarity-based covariates; (B) ROC curves for non-similarity covariates; (C)...
<p>ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...
<p>ROC-curves for multivariate regression model and the two variable selection methods for the predi...
<p>Outliers were selected with the IQR method. Results are given as area under the curve (AUC) for a...
<p>ROC curve for the multiple logistic regression model for CMV serostatus using a set of selected p...
<p>ROC Curve of the linear regression equation proposed as a prediction model for AHI.</p
<p>Statistical analysis of areas under the ROC curve for the cross-validated multivariate models.</p
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>ROC curve of predictive logistic regression model for depression according to the scores of the P...
<p>ROC curve for the multivariate logistic regression model predicting initial low back pain occurre...
ROC curves for logistic regression models for each outcome, using pre-specified predictor variable s...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
ROC curve analysis of multivariate regression model of AKI among dengue patients.</p
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>(A) ROC curves for similarity-based covariates; (B) ROC curves for non-similarity covariates; (C)...
<p>ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...