This paper presents a nonlinear Bayesian model for covariates in a\ud survival model with a surviving fraction. The work is a direct extension of the\ud cure rate model of Chen et al. (1999). In their model the covariates depend naturally\ud on the cure rate through a generalised linear model. We use a more flexible\ud local model of the covariates utilizing the Bayesian partition model of Holmes et\ud al. (1999). We apply the model to a large retail banking data set and compare our\ud results with the generalised linear model used by Chen et al. (1999)
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