This package provides tools for correcting verification bias in the evaluation of a continuous diagnostic test. More precisely, five bias-corrected methods for ROC surface and VUS inference are provided under MAR assumption, i.e., full imputation (FI), mean score imputation (MSI), inverse probability weighting (IPW), semiparametric efficient (SPE) and K nearest-neighbor (KNN) estimator.
Duc-Khanh To, with contributions from Monica Chiogna and Gianfranco Adimari
Maintainer: Duc-Khanh To <toduc@stat.unipd.it>
| Package: | bcROCsurface |
| Type: | Package |
| Version: | 1.0-4 |
| Date: | 2018-11-07 |
| License: | GPL 2 | GPL 3 |
| Lazy load: | yes |
Major functions are ROCs and vus.
To Duc, K., Chiogna, M. and Adimari, G. (2018) Nonparametric estimation of ROC surfaces in presence of verification bias. REVSTAT Statistical Journal. Accepted.
To Duc, K., Chiogna, M. and Adimari, G. (2016) Bias-corrected methods for estimating the receiver operating characteristic surface of continuous diagnostic tests. Electronic Journal of Statistics, 10, 3063-3113.