2018 Bayesian Disease Mapping (pdf)

Description

Focusing on data commonly found in public health databases and clinical settings,Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiologyprovides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. The book explores a range of topics in Bayesian inference and modeling, including Markov chain Monte Carlo methods, Gibbs sampling, the Metropolis-Hastings algorithm, goodness-of-fit measures, and residual diagnostics.