km: Kaplan-Meier with robust standard errors

In mets: Analysis of Multivariate Event Times

Kaplan-Meier with robust standard errors

Description

Kaplan-Meier with robust standard errors Robust variance is default variance and obtained from the predict call

Usage

km(formula, data = data, ...)

Arguments

formula	formula with 'Surv' 'Event' outcome
data	data frame
...	Additional arguments to phreg

Author(s)

Thomas Scheike

Examples

library(mets)
data(sTRACE)
sTRACE$cluster <- sample(1:100,500,replace=TRUE)
out1 <- km(Surv(time,status==9)~strata(vf,chf),data=sTRACE)
out2 <- km(Surv(time,status==9)~strata(vf,chf)+cluster(cluster),data=sTRACE)

summary(out1,times=1:3)
summary(out2,times=1:3)

par(mfrow=c(1,2))
plot(out1,se=TRUE)
plot(out2,se=TRUE)

mets documentation built on June 8, 2025, 1:24 p.m.