condSURV (version 2.0.4)

KMW: Kaplan-Meier weights.

Description

This function returns a vector with the Kaplan-Meier weights.

Usage

KMW(time, status)

Value

Vector with Kaplan-Meier weights.

Arguments

time

Survival time of the process.

status

Censoring indicator of the survival time of the process; 0 if the survival time is censored and 1 otherwise.

Author

Luis Meira-Machado and Marta Sestelo

References

E. Kaplan and P. Meier. Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53:457-481, 1958.

See Also

PKMW

Examples

obj <- with(colonCS, survCS(time1, event1, Stime, event))
kmw <- KMW(time = obj$Stime, status = obj$event)

require(survival)
colon.surv <- survfit(Surv(Stime, event) ~ 1, obj)
times <- summary(colon.surv)$time
surv <- summary(colon.surv)$surv
nevent <- summary(colon.surv)$n.event
p <- match(obj$Stime, times)
kmw2 <- -diff(c(1, surv))/nevent
kmw2 <- kmw2[p]*obj$event
kmw2[is.na(kmw2)] <- 0
all.equal(kmw, kmw2)