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- W2014768612 abstract "Abstract 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 dependent diabetes mellitus (IDDM) as observed in the communes of Sardinia." @default.
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- W2014768612 title "Bayesian estimates of disease maps: How important are priors?" @default.
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- W2014768612 doi "https://doi.org/10.1002/sim.4780142111" @default.
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