LDMdf {survivalREC}

Landmark estimator for the bivariate distribution function

Description

Provides estimates for the bivariate distribution function based on Bayes' theorem and Kaplan-Meier survival function. This approach is also named as landmarking.

Usage

LDMdf(object, x, y)

Arguments

object

An object of class multidf.

x

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

y

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

Value

Vector with the Landmark estimates for the bivariate distribution function.

Author(s)

Gustavo Soutinho and Luis Meira-Machado

References

van Houwelingen, H.C. (2007). Dynamic prediction by landmarking in event history analysis, Scandinavian Journal of Statistics, 34, 70-85.

Kaplan, E. and Meier, P. (1958). Nonparametric Estimation from Incomplete Observations, Journal of the American Statistical Association 53(282), 457-481.

See Also

IPCWdf, KMWdf, LINdf and WCHdf.

Examples

b3state<-multidf(gap1=bladder4state$y1, event1=bladder4state$d1, 
                 gap2=bladder4state$y2, status=bladder4state$d2, 
                 size=bladder4state$size)
                 
LDMdf(b3state, x=13, y=20)