| bcROCsurface-package {bcROCsurface} | R Documentation |
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.
| Package: | bcROCsurface |
| Type: | Package |
| Version: | 1.0-1 |
| Date: | 2016-10-07 |
| License: | GPL 2 | GPL 3 |
| Lazy load: | yes |
Major functions are ROCs and vus.
Khanh To Duc, with contributions from Monica Chiogna and Gianfranco Adimari
Maintainer: Khanh To Duc <toduc@stat.unipd.it>
To Duc, K., Chiogna, M. and Adimari, G. (2016a) Bias-corrected methods for estimating the receiver operating characteristic surface of continuous diagnostic tests. Electronic Journal of Statistics, 10, 3063-3113.
To Duc, K., Chiogna, M. and Adimari, G. (2016b) Nonparametric Estimation of ROC Surfaces Under Verification Bias. https://arxiv.org/abs/1604.04656v1. Submitted.