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ThresholdROCsurvival
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Download and install ThresholdROCsurvival package within the R console
Install from CRAN:
install.packages("ThresholdROCsurvival")
Install from Github:
library("remotes")
install_github("cran/ThresholdROCsurvival") Install by package version:
library("remotes")
install_version("ThresholdROCsurvival", "1.2.1") Attach the package and use:
library("ThresholdROCsurvival")
Maintained by
Sara Perez-Jaume
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-08
Latest Update: 2024-03-21
Description:
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>.
How to cite:
Sara Perez-Jaume (2022). ThresholdROCsurvival: Diagnostic Ability Assessment with Right-Censored Data at a Fixed Time t. R package version 1.2.1, https://cran.r-project.org/web/packages/ThresholdROCsurvival. Accessed 30 Oct. 2026.
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Complete documentation for ThresholdROCsurvival
Functions, R codes and Examples using
the ThresholdROCsurvival R package
Some associated functions: AUC_ICT . AUC_ME . NSCLC . ThresholdROCsurvival-package . th_ICT . th_ME . th_survivalROC .
Some associated R codes: AUC_ICT.R . AUC_ME.R . auxiliars.R . th_ICT.R . th_ME.R . th_survivalROC.R . Full ThresholdROCsurvival package functions and examples
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