Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution

In this work, we propose a flexible cure rate model to allow for spatial correlations by including spatial frailty in the interval-censored data setting. The proposed model is quite flexible and generalizes the Bernoulli, geometric, Poisson, and logarithmic models. It can be tested for the best fit in a straightforward way. Our approach enables different underlying activation mechanisms that lead to the event of interest, and the number of …