geega: Generalized estimating equations for the incidence part

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

Description

Fit the logistic model in the incidence part with the GEE approach

Usage

geega(w, Z, gamma, id, corstr)

Arguments

w	conditional probability of a patient remains uncured at the mth iteration. We use Status as initial value.
Z	a matrix of covariates corresponding to the incidence part.
gamma	initial beta for the GEE for the latency part. We use 0 as the 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.