Computes the inverse probability of censoring weights for a specific t0 and tau

Description

Computes the inverse probability of censoring weights for a specific t0 and tau i.e. this computes I(t0 < XL < t0+tau)*DL/G(XL) + I(XL>t0+tau)/G(t0+tau) where XL = min(TL, C), TL is the time of the long term event, C is the censoring time, DL =1*(TL<C) and G() is the estimate survival probability for censoring estimated using the Kaplan Meier estimator (see Ghat.FUN)

Usage

1
Wi.FUN(data, t0, tau, weight.given = NULL)

Arguments

data

n by k matrix, where k>= 2. A data matrix where the first column is XL = min(TL, C) where TL is the time of the long term event, C is the censoring time, and the second column is DL =1*(TL<C)

t0

the landmark time..

tau

the residual survival time for which probabilities are calculated.

weight.given

an optional weight to be incorporated in estimation of this weight

Value

Inverse probability of censoring weight.

Author(s)

Layla Parast

Examples

1
2
3
4
5
data(data_example_landpred)
t0=2
tau = 8

W2i <- Wi.FUN(data_example_landpred[,1],data = data_example_landpred[,c(1:2)],t0=t0,tau=tau)