Using logistic regression procedures for estimating receiver operating characteristic curves Journal Article
| Authors: | Qin, J.; Zhang, B. |
| Article Title: | Using logistic regression procedures for estimating receiver operating characteristic curves |
| Abstract: | Estimation of a receiver operating characteristic, ROC, curve is usually based either on a fully parametric model such as a normal model or on a fully nonparametric model. In this paper, we explore a semiparametric approach by assuming a density ratio model for disease and disease-free densities. This model has a natural connection with the logistic regression model. The proposed semiparametric approach is more robust than a fully parametric approach and is more efficient than a fully nonparametric approach. Two real examples demonstrate that the ROC curve estimated by our semiparametric method is much smoother than that estimated by the nonparametric method. |
| Keywords: | diagnostic test; roc curve; specificity; sensitivity; gaussian process; logistic regression model; bootstrap; density ratio model; semiparametric likelihood |
| Journal Title: | Biometrika |
| Volume: | 90 |
| Issue: | 3 |
| ISSN: | 0006-3444 |
| Publisher: | Oxford University Press |
| Date Published: | 2003-09-01 |
| Start Page: | 585 |
| End Page: | 596 |
| Language: | English |
| DOI: | 10.1093/biomet/90.3.585 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Export Date: 12 September 2014 -- Source: Scopus |
