Receiver operating characteristic (ROC) curves are used for summarizing the performance of imperfect diagnostic systems, especially in biomedical research. These curves are also appropriate for ...
Multivariate ROC curve models that include an interaction term between biomarker type and false positive rate are important in comparative biomarker studies, because such interaction allows ROC curves ...
This paper formulates a mathematical model for generating receiver operating characteristic (ROC) curves without underlying data. Credit scoring practitioners know that the Gini coefficient usually ...
The ROC curve is plotted by the GPLOT procedure, and the plot is shown in Output 39.6.3. symbol1 i=join v=none c=blue; proc gplot data=roc1; title 'ROC Curve'; plot _sensit_*_1mspec_=1 / vaxis=0 to 1 ...
This paper suggests a low cost methodology for identifying and assessing the accuracy of poverty monitoring and targeting indicators. It proposes that the non-parametric technique of Receiver ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results