jackknife.competing.risks2 {eventglm} | R Documentation |
Compute jackknife pseudo-observations of the cause-specific cumulative incidence for competing risks
Description
Compute jackknife pseudo-observations of the cause-specific cumulative incidence for competing risks
Usage
jackknife.competing.risks2(object, times, cause, mr)
Arguments
object |
A survfit object, with competing events |
times |
Times at which the cumulative incidence is computed, must be length 1 |
cause |
Value indicating for which cause the cumulative incidence is to be computed, it must match one of the values available in object (see example) |
mr |
Model response, the result of a call to Surv, or a matrix with two columns: "time" (observed follow up time) and "status" (0 = censored, 1, ..., k = event types) |
Value
A vector of jackknifed pseudo-observations of the cause-specific cumulative incidence at time times
Examples
sfit.cuminc <- survival::survfit(survival::Surv(etime, event) ~ 1, data = mgus2)
mrs <- with(mgus2, Surv(etime, event))
pseudo.obs <- jackknife.competing.risks2(sfit.cuminc, times = 200, cause = "pcm", mrs)
mean(pseudo.obs)
# agrees with
summary(sfit.cuminc, times = 200)
[Package eventglm version 1.2.2 Index]