Sentence examples for model discrimination by from inspiring English sources

We assessed overall model discrimination by using the area under the receiver operating characteristic curve (AUC).

We assessed overall model discrimination by using sensitivity, specificity and the area under the receiver operating characteristic curve (AUC).

We used the integrated discrimination improvement (IDI) [ 26] to evaluate the improvement of model discrimination by adding the severity index.

Additionally, we show how this method can be used for model discrimination by comparing the output identifiability of two candidate model structures to published literature data.

We evaluated the goodness of fit using Homer-Lemeshow chi-square test [ 20] and model discrimination by measuring the c-statistic, which is equivalent to the area-under-the-receiver operating characteristic (ROC) curve [ 21].

The improvement in model discrimination by the addition of hsCRP, adiponectin, or both as the independent variables was assessed by the log-likelihood ratio test and c-statistics (mathematically equivalent to areas under ROC [receiver operating characteristic] curves in binary outcomes) [ 18].

Model discrimination was tested by analyzing the ROC curves derived from the technique developed by Metz et al. [ 30].

Model fit was assessed with a calibration curve, and model discrimination was measured by the area under the receiver operating characteristic curve, approximated by the trapezoidal method and estimation of 95% confidence intervals [ 17, 18].

Model discrimination was assessed by calculating the area under the receiver operating characteristic curve (AUC).

Model discrimination was assessed by the concordance index (c-index) and plotted on a receiver operating characteristic (ROC) curve.

All three models did not improve model discrimination as measured by c-statistics.