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Disease mapping with WinBUGS and MLwiN
Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro
- Publikováno
- Chichester : Wiley, c2003
- Vydání
- 1st ed.
- Edice
- Statistics in practice
- Stránkování
- xiii, 277 s.
Jazyk angličtina Země Velká Británie
Knihovny.cz ISBN
0-470-85604-1
- Konspekt
- Patologie. Klinická medicína
- NLK Obory
- epidemiologie
- veřejné zdravotnictví
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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