Package: ThresholdROCsurvival 1.2.1

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>.

Authors:Sara Perez-Jaume [aut, cre], Josep L Carrasco [aut]

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ThresholdROCsurvival.pdf |ThresholdROCsurvival.html
ThresholdROCsurvival/json (API)

# Install 'ThresholdROCsurvival' in R:
install.packages('ThresholdROCsurvival', repos = c('https://spjaume.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • NSCLC - Non-small cell lung cancer (NSCLC) data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 scripts 650 downloads 2 exports 40 dependencies

Last updated 8 months agofrom:8fa97934dc. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winOKNov 09 2024
R-4.5-linuxOKNov 09 2024
R-4.4-winOKNov 09 2024
R-4.4-macOKNov 09 2024
R-4.3-winOKNov 09 2024
R-4.3-macOKNov 09 2024

Exports:diagnostic_assessment_binarydiagnostic_assessment_continuous

Dependencies:bootclidplyrfansiFNNgenericsglueGPArotationInformativeCensoringkernlabKernSmoothkslatticelifecyclemagrittrMASSMatrixmclustmgcvmnormtmulticoolmvtnormnlmenumDerivpillarpkgconfigplyrpracmapROCpsychR6RcpprlangsurvivalThresholdROCtibbletidyselectutf8vctrswithr