The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ThresholdROCsurvival: Diagnostic Ability Assessment with Right-Censored Data at a Fixed Time t

We focus on the diagnostic ability assessment of medical tests 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 unknown for those subjects censored before t. Here we provide three methods (unknown status exclusion, imputation of censored times and using time-dependent ROC curves) to evaluate the diagnostic ability of binary and continuous tests 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: 1.2.1
Depends: R (≥ 4.0.0)
Imports: boot, InformativeCensoring, pROC, psych, survival, ThresholdROC
Published: 2024-03-21
DOI: 10.32614/CRAN.package.ThresholdROCsurvival
Author: Sara Perez-Jaume [aut, cre], Josep L Carrasco [aut]
Maintainer: Sara Perez-Jaume <spjaume at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ThresholdROCsurvival results

Documentation:

Reference manual: ThresholdROCsurvival.pdf

Downloads:

Package source: ThresholdROCsurvival_1.2.1.tar.gz
Windows binaries: r-devel: ThresholdROCsurvival_1.2.1.zip, r-release: ThresholdROCsurvival_1.2.1.zip, r-oldrel: ThresholdROCsurvival_1.2.1.zip
macOS binaries: r-release (arm64): ThresholdROCsurvival_1.2.1.tgz, r-oldrel (arm64): ThresholdROCsurvival_1.2.1.tgz, r-release (x86_64): ThresholdROCsurvival_1.2.1.tgz, r-oldrel (x86_64): ThresholdROCsurvival_1.2.1.tgz
Old sources: ThresholdROCsurvival archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ThresholdROCsurvival to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.