geebt: Generalized estimating equations for the latency part

In geecure: Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations

Description

Fit the PH model in the latency part with the GEE approach.

Usage

geebt(Status, Lambda, X, beta, w, id, corstr)

Arguments

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

geecure documentation built on May 2, 2019, 6:03 a.m.