Bias-Corrected Methods for Estimating the ROC Surface of
Continuous Diagnostic Tests
The bias-corrected estimation methods for the receiver operating characteristics
ROC surface and the volume under ROC surfaces (VUS) under missing at random (MAR)
assumption.
News
Version 1.0-3 (16th Oct 2018)
Implement Jackknife approach for estimating standard error of FULL estimate of VUS
Fix the bug of bootstrap estimation for variance
Add argument "trace" into function "vus()" for tracing information on the progress of the estimation