AUROCArea Under the Receiver Operating Characteristic Curve (statistical analysis)
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Specificity was 95% with LR+ of 5.18, and AUROC of 0.71; other diagnostic performance indicators are shown in Table 2.
Logistic regression determined the predictive value for ovarian response while AUROC analysis was used to see the predictive accuracy of FSH and AMH.
vulnificus-infected patients, although the AUROC for the APACHE II score was significantly less than that for initial pH.
At last, we reran the logistic analysis to build a model for hospital mortality prediction (all causes of death) and compared its performance (AUROC) to the performance of several published predictive scores applied to our data set [28].
Regression studies and AUROC analysis supported the protective role of eosinophils in VAP caused by S.
In all training sets and in most validation sets, accuracy, sensitivity, specificity, and AUROC were higher in the 1-, 3-, and 5-year survival models constructed by ANN than in those constructed by LR, which is consistent with other reports that ANN outperforms LR in both training [15, 31-35] and validation [14, 36, 37].
ROC curves were plotted as sensitivity over (1-specificity) for each parameter and Area Under Receiver Operating Characteristic (AUROC) was calculated.
The AUROC for the VAP PIRO score (AUROC 0.605; 95% CI 0.521 to 0.684, P=0.03) was similar to APACHE II score (AUROC 0.631; 95% CI 0.548 to 0.709, P=0.01) for predicting ICU mortality (P value for difference between areas, P=0.68) (Figure 2).
To overcome this problem, one often calculates the area under the ROC (AUROC) curve (Bradley, 1997; Hand, 1997; Hanley and McNeil, 1982, 1983).
After AUROC analysis in both cohorts, the authors concluded that MELD-P predicted the 21-day, 14-day, 7-day and in-hospital mortality much better than MELD, MELD-Na, PSI, and CURB65.
We obtained a moderate goodness of fit of the participation model based on the area under the receiver operating characteristic curve (AUROC) (AUROC = 0.77).