Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
415371 | Computational Statistics & Data Analysis | 2008 | 9 Pages |
Abstract
A local linear method for estimating the conditional ROC curve under the presence of continuous and categorical covariates is introduced. A data driven smoothing parameter selector based on the bootstrap is proposed. The methods are illustrated with real data from a discrimination problem emerging in the context of computer-aided diagnosis. The bootstrap approach is also used to construct pointwise confidence intervals for the area under the ROC curve.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Ignacio López-de-Ullibarri, Ricardo Cao, Carmen Cadarso-Suárez, María J. Lado,