BAYESIAN DISEASE MAPPING

In line with the recent growth of Bayesian methods applied to the modeling of geo-referenced health data, Bayesian Disease Mapping presents a practical overview of Bayesian modeling and computation in disease mapping. It covers various application areas, including disease map reconstruction, disease cluster detection, multi-scale disease mapping, spatio-temporal models, spatial survival analysis, spatial longitudinal analysis, and latent structure models. The book features a wide range of detailed case studies to illustrate how the methods can be applied. The author implements all examples using R and WinBUGS and provides additional code and datasets available for download on the web.