Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations
Estimation of the baseline survival function
Expectation-Maximization (EM) algorithm and Expectation-Solution (ES) ...
Expectation-Solution (ES) algorithm
Generalized estimating equations for the latency part
Marginal proportional hazards mixture cure models with generalzied est...
Marginal proportional hazards mixture cure model with generalzied esti...
Semiparametric marginal proportional hazards mixture cure model
Generalized estimating equations for the incidence part
Initial value of the cumulative baseline hazard function
Print geecure object
Print geecure2 object
Variance estimate with sandwich formula based on the ES algorithm
Variance estimate with sandwich formula based on the EM algorithm
Features the marginal parametric and semi-parametric proportional hazards mixture cure models for analyzing clustered survival data with a possible cure fraction. A reference is Yi Niu and Yingwei Peng (2014) <doi:10.1016/j.jmva.2013.09.003>.