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>.
| Version: |
1.1 |
| Depends: |
R (≥ 3.4) |
| Published: |
2018-01-27 |
| DOI: |
10.32614/CRAN.package.bigtcr |
| Author: |
Chenguang Wang [aut, cre],
Chiung-Yu Huang [aut],
Mei-Cheng Wang [aut] |
| Maintainer: |
Chenguang Wang <cwang68 at jhmi.edu> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
yes |
| CRAN checks: |
bigtcr results |
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