Kaplan-Meier with robust standard errors

Kaplan-Meier with robust standard errors Robust variance is default variance with the summary.

km(
  formula,
  data = data,
  conf.type = "log",
  conf.int = 0.95,
  robust = TRUE,
  ...
)

Arguments

formula

formula with 'Surv' outcome (see coxph)

data

data frame

conf.type

transformation

conf.int

level of confidence intervals

robust

for robust standard errors based on martingales

...

Additional arguments to lower level funtions

Author

Thomas Scheike

Examples

data(TRACE)
TRACE$cluster <- sample(1:100,1878,replace=TRUE)
out1 <- km(Surv(time,status==9)~strata(vf,chf),data=TRACE)
out2 <- km(Surv(time,status==9)~strata(vf,chf)+cluster(cluster),data=TRACE)

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