A Markov gamma random field for modelling disease mapping data
Luis Enrique Nieto-Barajas · Statistical Modelling · 2008
In this paper we introduce a Markov gamma random field prior for modelling relative risks in disease mapping data. This prior process allows for a different dependence effect with different neighbours. We describe the properties of the prior process and derive posterior distributions. The model is extended to cope with covariates and a data set of respiratory infections of children in Mexico is used as an illustration.