R: Bias-Corrected Methods for Estimating the ROC Surface of...

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: | 1.0-3
Date: | 2018-09-12
License: | GPL 2 | GPL 3
Lazy load: | yes

Major functions are `ROCs` and `vus`.

### Author(s)

Khanh To Duc, with contributions from Monica Chiogna and Gianfranco Adimari

Maintainer: Khanh To Duc <toduc@stat.unipd.it>

### References

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.

[Package bcROCsurface version 1.0-3 Index]