Hierarchical Bayesian spatiotemporal analysis of revascularization odds using smoothing splines.

@article{Silva2008HierarchicalBS,
  title={Hierarchical Bayesian spatiotemporal analysis of revascularization odds using smoothing splines.},
  author={Giovani L. Silva and Charmaine B. Dean and Theophile Niyonsenga and Alain Vanasse},
  journal={Statistics in medicine},
  year={2008},
  volume={27 13},
  pages={
          2381-401
        }
}
Hierarchical Bayesian models are proposed for over-dispersed longitudinal spatially correlated binomial data. This class of models accounts for correlation among regions by using random effects and allows a flexible modelling of spatiotemporal odds by using smoothing splines. The aim is (i) to develop models which will identify temporal trends of odds and produce smoothed maps including regional effects, (ii) to specify Markov chain Monte Carlo (MCMC) inference for fitting such models, (iii) to… 
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