| bcROCsurface-package {bcROCsurface} | R Documentation |
Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests
Description
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.
Details
| Package: | bcROCsurface |
| Type: | Package |
| Version: | 1.0-6 |
| Date: | 2023-09-09 |
| License: | GPL 2 | GPL 3 |
| Lazy load: | yes |
Major functions are rocs and vus_mar.
Author(s)
Duc-Khanh To, with contributions from Monica Chiogna and Gianfranco Adimari
Maintainer: Duc-Khanh To <toduc@stat.unipd.it>
References
To Duc, K., Chiogna, M. and Adimari, G. (2020) Nonparametric estimation of ROC surfaces in presence of verification bias. REVSTAT-Statistical Journal. 18, 5, 697–720.
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.