KMW3df {survivalREC}

Kaplan-Meier Weighted estimator for three gap times distribution function.

Description

Provides estimates for three gap times distribution function based on Kaplan-Meier Weights (KMW).

Usage

KMW3df(object, x, y, z)

Arguments

object

An object of class multidf.

x

The first time for obtaining estimates for the trivariate distribution function.

y

The second time for obtaining estimates for the trivariate distribution function.

z

The third time for obtaining estimates for the trivariate distribution function.

Value

Vector with the Kaplan-Meier Weighted estimates for three gapes times distribution function.

Author(s)

Gustavo Soutinho and Luis Meira-Machado

References

de Una-Alvarez J, Meira Machado LF (2008). "A Simple Estimator of the Bivariate Distribution Function for Censored Gap Times", Statistical and Probability Letters, 78, 2440-2445.

Davison, A.C. and Hinkley, D.V. (1997) "Bootstrap Methods and Their Application", Chapter 5. Cambridge University Press.

See Also

LDM3df, LIN3df and WCH3df.

Examples

data("bladder5state")
b4state<-multidf(gap1=bladder5state$y1, event1=bladder4state$d1, 
                 gap2=bladder5state$y2, event2=bladder4state$d2,
                 gap3=bladder5state$y3, status=bladder4state$d3)
                 
head(b4state)[[1]]

KMW3df(b4state, x=13, y=20, z=40)

b4<-multidf(gap1=bladder4$t1, event1=bladder4$d1, 
            gap2=bladder4$t2-bladder4$t1, event2=bladder4$d2,
            gap3=bladder4$t3-bladder4$t2, status=bladder4state$d3)

KMW3df(b4, x=13, y=20, z=40)