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Item Details
Title:
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BAYESIAN DISEASE MAPPING
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By: |
Andrew B. Lawson, Byron J. T. Morgan, Terry Speed |
Format: |
Hardback |
List price:
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£63.99 |
We believe that this item is permanently unavailable, and so we cannot source
it.
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ISBN 10: |
1584888407 |
ISBN 13: |
9781584888406 |
Publisher: |
TAYLOR & FRANCIS INC |
Pub. date: |
4 August, 2008 |
Series: |
Chapman & Hall/CRC Interdisciplinary Statistics Series 32 |
Pages: |
362 |
Description: |
Presents an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. This title explores a range of topics in Bayesian inference and modeling. It explains how to apply these methods to disease mapping using numerous real-world data sets pertaining to cancer, asthma, and epilepsy. |
Synopsis: |
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 and modeling, including Markov chain Monte Carlo methods, Gibbs sampling, the Metropolis-Hastings algorithm, goodness-of-fit measures, and residual diagnostics. It also focuses on special topics, such as cluster detection; space-time modeling; and multivariate, survival, and longitudinal analyses. The author explains how to apply these methods to disease mapping using numerous real-world data sets pertaining to cancer, asthma, epilepsy, foot and mouth disease, influenza, and other diseases. In the appendices, he shows how R and WinBUGS can be useful tools in data manipulation and simulation. Applying Bayesian methods to the modeling of georeferenced health data, Bayesian Disease Mapping proves that the application of these approaches to biostatistical problems can yield important insights into data. |
Illustrations: |
115 black & white illustrations, 13 black & white tables, 2 black & white |
Publication: |
US |
Imprint: |
Chapman & Hall/CRC |
Returns: |
Returnable |
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