Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field. A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period, disease, etc. Although theory will be covered, the applied component will be equally as important with lots of practical examples offered.
Features:
Discusses the very latest developments on multivariate and multidimensional mapping.
Gives a single state-of-the-art framework that unifies most of the previously proposed disease mapping approaches.
Balances epidemiological and statistical points-of-view.
Requires no previous knowledge of disease mapping.
Includes practical sessions at the end of each chapter with WinBUGs/INLA and real world datasets.
Supplies R code for the examples in the book so that they can be reproduced by the reader.