bigtcr: Nonparametric Analysis of Bivariate Gap Time with Competing Risks

For studying recurrent disease and death with competing risks, comparisons based on the well-known cumulative incidence function can be confounded by different prevalence rates of the competing events. Alternatively, comparisons of the conditional distribution of the survival time given the failure event type are more relevant for investigating the prognosis of different patterns of recurrence disease. This package implements a nonparametric estimator for the conditional cumulative incidence function and a nonparametric conditional bivariate cumulative incidence function for the bivariate gap times proposed in Huang et al. (2016) <doi:10.1111/biom.12494>.

Author
Chenguang Wang [aut, cre], Chiung-Yu Huang [aut], Mei-Cheng Wang [aut]
Date of publication
2016-10-30 16:11:28
Maintainer
Chenguang Wang <cwang68@jhmi.edu>
License
GPL (>= 3)
Version
1.0

View on CRAN

Man pages

bigtcr-package
Bivariate Gap Time with Competing Risks
get.ccif
Conditional Cumulative Incidence Function (CCIF) Estimation
get.gap.ccif
Conditional Bivariate Cumulative Incidence Function...
get.gap.kt
Cause-Specific Kendall<U+2019>s tau Estimation
get.gap.pval
Comparison of Bivariate CCIF
get.kendalltau
Kendall<U+2019>s tau Estimation
get.pval
Comparison of CCIF
pancancer
Example Pancreatic Cancer Dataset

Files in this package

bigtcr
bigtcr/src
bigtcr/src/Makevars
bigtcr/src/bigap.c
bigtcr/NAMESPACE
bigtcr/data
bigtcr/data/pancancer.rda
bigtcr/R
bigtcr/R/bigtcr_package.R
bigtcr/R/bigtcr_tools.R
bigtcr/R/bigtcr_func.R
bigtcr/MD5
bigtcr/DESCRIPTION
bigtcr/man
bigtcr/man/bigtcr-package.Rd
bigtcr/man/get.gap.pval.Rd
bigtcr/man/pancancer.Rd
bigtcr/man/get.gap.ccif.Rd
bigtcr/man/get.ccif.Rd
bigtcr/man/get.pval.Rd
bigtcr/man/get.kendalltau.Rd
bigtcr/man/get.gap.kt.Rd