Browne, William J.
Disease Mapping with WinBUGS and MLwiN
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.
Keywords: MATHEMATICS / Probability & Statistics / General MAT029000
- Author(s)
- Browne, William J.
- Lawson, Andrew B.
- Rodeiro, Carmen L. Vidal
- Publisher
- John Wiley and Sons, Inc.
- Publication year
- 2003
- Language
- en
- Edition
- 1
- Page amount
- 292 pages
- Category
- Natural Sciences
- Format
- Ebook
- eISBN (PDF)
- 9780470856055
- Printed ISBN
- 9780470856048