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Disease Mapping with WinBUGS and MLwiN (Statistics in Practice)
Disease Mapping with WinBUGS and MLwiN (Statistics in Practice)
Date: 22 May 2011, 15:10

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Product Description: Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages – such as WinBUGS and MLwiN – are now easy to implement in practice.
* Provides an introduction to Bayesian and multilevel modelling in disease mapping.
* Adopts a practical approach, with many detailed worked examples.
* Includes introductory material on WinBUGS and MLwiN.
* Discusses three applications in detail – relative risk estimation, focused clustering, and ecological analysis.
* Suitable for public health workers and epidemiologists with a sound statistical knowledge.
* Supported by a Website featuring data sets and WinBUGS and MLwiN programs.
Disease Mapping with WinBUGS and MLwiN  provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.

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