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: | 1.0-1
Date: | 2016-10-07
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. (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.

[Package bcROCsurface version 1.0-2 Index]