Disease Mapping with WinBUGS and MLwiN von Andrew B. Lawson | ISBN 9780470856055

Disease Mapping with WinBUGS and MLwiN

von Andrew B. Lawson, William J. Browne und Carmen L. Vidal Rodeiro
Mitwirkende
Autor / AutorinAndrew B. Lawson
Autor / AutorinWilliam J. Browne
Autor / AutorinCarmen L. Vidal Rodeiro
Buchcover Disease Mapping with WinBUGS and MLwiN | Andrew B. Lawson | EAN 9780470856055 | ISBN 0-470-85605-X | ISBN 978-0-470-85605-5

„... written at a level that will be readily accessible toanyone with a modest background in applied statistics.“(Technometrics, February 2005)
„The book certainly is a nice addition to my disease mappingbooks. The book is equally useful for the undergraduate andgraduate students as well as public health professionals.(E-STREAMS, July 2004)
“... a good guide and a useful addition for anygraduate statistician or epidemiologist...„(Statistical Methods in Medical Research, No.13 2004)
“... outlines the models used in statistical disease mapping, andgives details of how the models can be implemented using twopackages...„ (Short Book Reviews, Vol.24, No.3)
“Readers... will greatly profit from this book"(International Society of Clinical Biostatistics Dec2005)

Disease Mapping with WinBUGS and MLwiN

von Andrew B. Lawson, William J. Browne und Carmen L. Vidal Rodeiro
Mitwirkende
Autor / AutorinAndrew B. Lawson
Autor / AutorinWilliam J. Browne
Autor / AutorinCarmen L. Vidal Rodeiro
Disease mapping involves the analysis of geo-referenced diseaseincidence data and has many applications, for example withinresource allocation, cluster alarm analysis, and ecologicalstudies. There is a real need amongst public health workers forsimpler and more efficient tools for the analysis of geo-referenceddisease incidence data. Bayesian and multilevel methods provide therequired efficiency, and with the emergence of software packages- such as WinBUGS and MLwiN - are now easy to implementin practice.
* Provides an introduction to Bayesian and multilevel modellingin disease mapping.
* Adopts a practical approach, with many detailed workedexamples.
* Includes introductory material on WinBUGS and MLwiN.
* Discusses three applications in detail - relative riskestimation, focused clustering, and ecological analysis.
* Suitable for public health workers and epidemiologists with asound statistical knowledge.
* 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 mappingfor researchers, practitioners and graduate students fromstatistics, public health and epidemiology who analyse diseaseincidence data.