Bayesian estimates of disease maps: how important are priors?

@article{Bernardinelli1995BayesianEO,
  title={Bayesian estimates of disease maps: how important are priors?},
  author={Luisa Bernardinelli and David Clayton and Cristina Montomoli},
  journal={Statistics in medicine},
  year={1995},
  volume={14 21-22},
  pages={2411-31}
}
In the fully Bayesian (FB) approach to disease mapping the choice of the hyperprior distribution of the dispersion parameter is a key issue. In this context we investigated the sensitivity of the rate ratio estimates to the choice of the hyperprior via a simulation study. We also compared the performance of the FB approach to mapping disease risk to the conventional approach of mapping maximum likelihood (ML) estimates and p-values. The study was modelled on the incidence data of insulin… CONTINUE READING
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