Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology

by Andrew B. Lawson, Byron J.T. Morgan, Terry Speed

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. This 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.

363 pages, Kindle Edition

First published August 1, 2008