Disease Mapping with WinBUGS and MLwiN
107,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
31.10.2003
Verlag
WileySeitenzahl
292 (Printausgabe)
Dateigröße
10321 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470856055
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.
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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