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Generalized Poisson-Lindely Distribution in Promotion Time Cure Model


Survival analysis, Long-term survival models, Promotion time cure model, Generalized Poisson-Lindely, Bayesian approach


Long-term survival analysis has been improved in the last decade and most of the models concentrate on the promotion time cure model that proposed by Chen (1999). These models are based on the distribution of latent variable N, number of initiated node cells. In this paper we proposed a Generalized Poisson-Lindely distribution that is another option instead of Negative Binomial distribution when there is overdispersion. The results indicated a better fitness compared to others, because of its more flexibility. Parameter estimation has been done by Bayesian approach, in a real data set and a simulation study has shown the advantages of proposed model.





Pakistan Journal of Statistics and Operation Research; Vol. 10 No. 4, 2014

Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810