§<p>PPV: positive predictive value;</p>¢<p>NPV: negative predictive value;</p>£<p>AUC: area under the ROC curve.</p
<p>Red, blue, and green curve denotes 5-fold cross-validation prediction performance of Bi-profile B...
<p>D<sup>2</sup>: explained predictive deviance</p><p>AUC: area under the receiver operating curve (...
We compute the area under the curve (AUC) for each model and each cohort, where a perfect classifier...
<p> <b>The AUC (ROC score) is the area under the ROC curve, normalized to 100 for a ...
<p>AUROC, area under the receiver operating characteristic curve; PPV, positive predictive value; NP...
<p>Models were validated using all 614 schools with reported blood in urine data and 33 schools with...
<p>ROC, receiver operating characteristic; AUC, area under the curve; CI, confidence interval.</p
(A) shows the AUC (95% confidence interval) of the p50 model tested on the same subset from which it...
<p>NPV = negative predictive value. AUROC = area under the receiver-operating characteristic curve.<...
a<p>Prediction values were provided by Potapov et al. <a href="http://www.plosone.org/article/info:d...
<p>FPR represents the false positive rate, and TPR is the true positive rate. The ROC curve is close...
<p>ROC of our new model, PSA, PSAD and f/t. The AUC of these predictors were 0.789, 0.566, 0.664 and...
<p>The AUC is the integral of the area below the ROC curve, as shown in <a href="http://www.plosone....
<p>The solid curve is the ROC curve for the prediction model established on the basis of the trainin...
Classic regression approaches with forward and/or backward stepwise selection yield the highest AUC....
<p>Red, blue, and green curve denotes 5-fold cross-validation prediction performance of Bi-profile B...
<p>D<sup>2</sup>: explained predictive deviance</p><p>AUC: area under the receiver operating curve (...
We compute the area under the curve (AUC) for each model and each cohort, where a perfect classifier...
<p> <b>The AUC (ROC score) is the area under the ROC curve, normalized to 100 for a ...
<p>AUROC, area under the receiver operating characteristic curve; PPV, positive predictive value; NP...
<p>Models were validated using all 614 schools with reported blood in urine data and 33 schools with...
<p>ROC, receiver operating characteristic; AUC, area under the curve; CI, confidence interval.</p
(A) shows the AUC (95% confidence interval) of the p50 model tested on the same subset from which it...
<p>NPV = negative predictive value. AUROC = area under the receiver-operating characteristic curve.<...
a<p>Prediction values were provided by Potapov et al. <a href="http://www.plosone.org/article/info:d...
<p>FPR represents the false positive rate, and TPR is the true positive rate. The ROC curve is close...
<p>ROC of our new model, PSA, PSAD and f/t. The AUC of these predictors were 0.789, 0.566, 0.664 and...
<p>The AUC is the integral of the area below the ROC curve, as shown in <a href="http://www.plosone....
<p>The solid curve is the ROC curve for the prediction model established on the basis of the trainin...
Classic regression approaches with forward and/or backward stepwise selection yield the highest AUC....
<p>Red, blue, and green curve denotes 5-fold cross-validation prediction performance of Bi-profile B...
<p>D<sup>2</sup>: explained predictive deviance</p><p>AUC: area under the receiver operating curve (...
We compute the area under the curve (AUC) for each model and each cohort, where a perfect classifier...
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