Disease Mapping with WinBUGS and MLwiN

Disease Mapping with WinBUGS and MLwiN Disease mapping involves the analysis of geo-referenced diseaseincidence data and has many applications, for example within resourceallocation, cluster alarm analysis, and ecological studies. There isa real need amongst public health workers for simpler and moreefficient tools for the analysis of geo-referenced disease incidencedata. Bayesian and multilevel methods provide the requiredefficiency, and with the emergence of software packages – such asWinBUGS and MLwiN – are now easy to implement in practice. Providesan introduction to Bayesian and multilevel modelling in diseasemapping. Adopts a practical approach, with many detailed workedexamples. Includes introductory material on WinBUGS and MLwiN.Discusses three applications in detail – relative risk estimation,focused clustering, and ecological analysis. Suitable for publichealth workers and epidemiologists with a sound statisticalknowledge. Supported by a Website featuring data sets and WinBUGS andMLwiN programs. Disease Mapping with WinBUGS and MLwiN provides apractical introduction to the use of software for disease mapping forresearchers, practitioners and graduate students from statistics,public health and epidemiology who analyse disease incidence data.

Authors: Lawson A.B., Browne W.J., Rodeiro C.L.Pages: 282     Year: 2003

Tags: winbugs mapping disease

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