leaveOneOut.survival: Compute leave one out jackknife contributions of the survival...

In eventglm: Regression Models for Event History Outcomes

Compute leave one out jackknife contributions of the survival function

Description

For each subject, the survival function is recomputed leaving that subject out. This one does the calculation for all observed times, for calculation of the restricted mean

Usage

leaveOneOut.survival(object, times, mr)

Arguments

object	A survfit object, with a single event (no competing risks)
times	Compute values at observed times up to and including this time
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 = event)

Value

A vector of jackknifed values of survival at time times

Examples

sfit.surv <- survival::survfit(survival::Surv(time, status) ~ 1, data = colon)
mrs <- with(colon, Surv(time, status))
jackvals <- leaveOneOut.survival(sfit.surv, 1000, mrs)

eventglm documentation built on April 3, 2025, 6:23 p.m.