R: Kaplan-Meier weights.

KMW {condSURV} | R Documentation

## Kaplan-Meier weights.

### Description

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

### Usage

    KMW(time, status)

### 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.

### Value

Vector with Kaplan-Meier weights.

### Author(s)

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)

[Package condSURV version 2.0.2 Index]