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mets (version 1.3.6)

km: 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

Thomas Scheike

Examples

Run this code
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)

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