Kernel Estimates of ROC Curves
| Authors | |
|---|---|
| Year of publication | 2008 |
| Type | Article in Proceedings |
| Conference | Compstat 2008, Books of Abstracts |
| MU Faculty or unit | |
| Citation | |
| Field | Applied statistics, operation research |
| Keywords | kernel estimate; ROC curve; bandwidth |
| Description | ROC curves are important tool for comparing diagnostic tests. Nonparametric kernel estimation is useful in the case when no information about the distribution of the data is available. Presented contribution is focused on the method of kernel estimate of ROC curve as a special type of cumulative distribution function. This approach can be applied for choice of smoothing parameter called bandwidth and also for evaluation of area under ROC curve (AUC) or partial AUC. Suggested method is compared with another methods and it is tested on simulated and real data. |
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