ThresholdROCsurvival: Threshold and AUC Estimation with Right-Censored Data at a Fixed Time t

We focus on the estimation of optimal thresholds and AUCs when the outcome of interest is the status (alive or dead) of the subjects at a certain time-point t. This binary status is determined by right-censored times to event and it is missing for those subjects censored before t. Here we provide three methods (missing exclusion, imputation of censored times and using time-dependent ROC curves) to estimate optimal thresholds and AUCs in this context. Two references for the methods used here are Skaltsa et al. (2010) <doi:10.1002/bimj.200900294> and Heagerty et al. (2000) <doi:10.1111/j.0006-341x.2000.00337.x>.

Version: 1.0.2
Depends: R (≥ 4.0.0)
Imports: boot, InformativeCensoring, pROC, psych, survival, survivalROC, ThresholdROC
Published: 2022-08-11
Author: Sara Perez-Jaume [aut, cre], Josep L Carrasco [aut]
Maintainer: Sara Perez-Jaume <spjaume at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ThresholdROCsurvival results


Reference manual: ThresholdROCsurvival.pdf


Package source: ThresholdROCsurvival_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ThresholdROCsurvival_1.0.2.tgz, r-oldrel (arm64): ThresholdROCsurvival_1.0.2.tgz, r-release (x86_64): ThresholdROCsurvival_1.0.2.tgz, r-oldrel (x86_64): ThresholdROCsurvival_1.0.2.tgz
Old sources: ThresholdROCsurvival archive


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