Modeling and Analysis of Proportional Hazards Competing Risks Cure Rate Model

Cure rate models have been developed for the analysis of time to event data with cured fraction. In this paper we propose a proportional hazards competing risks regression model for the analysis of survival data with cured fraction. Estimation of the proposed model parameters is done by maximum likelihood method via EM algorithm. Simulation work is carried out to examine influence of sample size on bias and variability of estimators. We applied the model to real life time data.