Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

CRC Press

Using R for Bayesian Spatial and Spatio-Temporal Health ModelingAuthor(s): Andrew B. Lawson\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9780367490126, 978-0367490126\nSynopsis\nProgressively more and more attention has been paid to how location affects health outcomes. The area of disease mapping focusses on these problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies.\n\nFeatures:\n\nReview of R graphics relevant to spatial health data\n\nOverview of Bayesian methods and Bayesian hierarchical modeling as applied to spatial data\n\nBayesian Computation and goodness-of-fit\n\nReview of basic Bayesian disease mapping model.

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