eventglm (version 1.4.5)

leaveOneOut.competing.risks: Compute jackknife pseudo-observations of the cause-specific cumulative incidence for competing risks

Description

This version computes them for all times up to times, for the restricted mean lifetime lost

Usage

leaveOneOut.competing.risks(object, times, cause, mr)

Value

A vector of jackknifed values of the cause-specific cumulative incidence at time times

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)

Examples

sfit.cuminc <- survival::survfit(survival::Surv(etime, event) ~ 1, data = mgus2)
mrs <- with(mgus2, Surv(etime, event))
jackvals <- leaveOneOut.competing.risks(sfit.cuminc, times = 200, cause = "pcm", mrs)