get.gap.kt {bigtcr} | R Documentation |
Estimate the modified cause-specific Kendall's tau for the evaluation of
association for bivariate gap time with competing risks. See bigtcr-package
.
get.gap.kt(obs.y, event, v, tau = Inf, nbs = 0)
obs.y |
Y: time to failure events or censoring |
event |
0: censored; 1, … J: type of failure events |
v |
Time to the first failure event (e.g. disease recurrence) |
tau |
Conditioning time τ under which the CCIF is defined |
nbs |
Number of bootstrap samples for bootstrap variances. When nbs is smaller than 1, bootstrap variances are not evaluated. |
A list of the estimation and variances of modified casue-specific Kendall's tau
Kt <- get.gap.kt(obs.y=pancancer$obs.y, event=pancancer$min.type, v=pancancer$v, tau=120, nbs=5)