Fit the PH model in the latency part with the GEE approach.
geebt(Status, Lambda, X, beta, w, id, corstr)the censoring indicator, normally 0 = event of interest happens, and 0 = censoring
initial cumulative baseline hazard function from the GEE with independence working corrlation matrix.
a matrix of covariates corresponding to the latency part.
initial beta for the GEE for the latency part. We use 0 as the initial value.
conditional probability of a patient remains uncured at the mth iteration. We use Status as initial value.
a vector which identifies the clusters. The length of id should be the same as the number of observations.
a character string specifying the correlation structure. The following are permitted: independence and exchangeable.