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, ... )
formula |
formula with 'Surv' outcome (see |
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 |
Thomas Scheike
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)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.