Disease Mapping with WinBUGS and MLwiN

This book PDF is perfect for those who love Mathematics genre, written by Andrew B. Lawson and published by John Wiley & Sons which was released on 12 September 2003 with total hardcover pages 304. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Disease Mapping with WinBUGS and MLwiN books below.

Disease Mapping with WinBUGS and MLwiN
Author : Andrew B. Lawson
File Size : 50,9 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 12 September 2003
ISBN : 0470856041
Pages : 304 pages
Get Book

Disease Mapping with WinBUGS and MLwiN by Andrew B. Lawson Book PDF Summary

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.

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

Get Book
Disease Mapping

Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field. A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period,

Get Book
Bayesian Disease Mapping

Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. The book explores a range of topics in Bayesian inference

Get Book
Social Environment and Cancer in Europe

This contributed volume addresses the link between the social environment and cancer in Europe. The authors document the wide range and diverse trends in cancer incidence and patient survival in Europe, and they identify the main mechanisms and key influences that underlie these inequalities. They suggest a series of actions

Get Book
Statistical Methods in Spatial Epidemiology

Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage

Get Book
Applied Spatial Data Analysis with R

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats

Get Book
Spatial and Syndromic Surveillance for Public Health

Following the events of 9/11 and in the current world climate, there is increasing concern of the impact of potential bioterrorism attacks. Spatial surveillance systems are used to detect changes in public health data, and alert us to possible outbreaks of disease, either from natural resources or from bioterrorism attacks. Statistical

Get Book
Modern Trends in Cartography

The fast exchange of information and knowledge are the essential conditions for successful and effective research and practical applications in cartography. For successful research development, it is necessary to follow trends not only in this domain, but also try to adapt new trends and technologies from other areas. Trends in

Get Book