Helen Roy (ed.); Patrick De Clercq (ed.); Lori-Jayne Lawson Handley (ed.); John J. Sloggett (ed.); Remy L. Poland (ed.); Wa Springer (2013) Pehmeäkantinen kirja
John Wiley & Sons Inc Sivumäärä: 296 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2003, 08.08.2003 (lisätietoa) Kieli: Englanti
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.
