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r / packages / r-bigtcr

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>.

Type Size Name Uploaded Downloads Labels
conda 74.6 kB | linux-64/r-bigtcr-1.1-r43h76d94ec_0.tar.bz2  1 year and 1 month ago 22 main
conda 74.0 kB | linux-64/r-bigtcr-1.1-r42h76d94ec_0.tar.bz2  2 years and 8 months ago 59 main
conda 83.9 kB | win-64/r-bigtcr-1.1-r36hda5aaf8_0.tar.bz2  4 years and 11 months ago 61 main
conda 73.5 kB | osx-64/r-bigtcr-1.1-r36h46e59ec_0.tar.bz2  4 years and 11 months ago 19 main
conda 74.3 kB | linux-64/r-bigtcr-1.1-r36h96ca727_0.tar.bz2  4 years and 11 months ago 63 main

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