"Presents an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. This title explores a range of topics in Bayesian inference and modeling. It explains how to apply these methods to disease mapping using numerous real-world data sets pertaining to cancer, asthma, and epilepsy."
"Presents an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. This title explores a range of topics in Bayesian inference and modeling. It explains how to apply these methods to disease mapping using numerous real-world data sets pertaining to cancer, asthma, and epilepsy."@en
"Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. A biostatistics professor and WHO advisor, the author illustrates the use of Bayesian hierarchical modeling in the geographical analysis of disease thr"@en