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Bayesian disease mapping : hierarchical modeling in spatial epidemiology

Author: Andrew Lawson
Publisher: Boca Raton, Fla. : CRC Press, ©2009.
Series: Interdisciplinary statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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.
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Genre/Form: Electronic books
Additional Physical Format: Lawson, Andrew (Andrew B.).
Bayesian disease mapping.
Boca Raton : CRC Press, ©2009
(DLC) 2008022718
(OCoLC)150381302
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Andrew Lawson
ISBN: 9781584888413 1584888415 1281863394 9781281863393
OCLC Number: 276433127
Notes: "A Chapman & Hall book."
Description: 1 online resource (xvii, 344 pages) : illustrations, maps.
Contents: Bayesian inference and modeling --
Computational issues --
Residuals and goodness-of-fit --
Disease map reconstruction and relative risk estimation --
Disease cluster detection --
Ecological analysis --
Multiple scale analysis --
Multivariate disease analysis --
Spatial survival and longitudinal analysis --
Spatiotemporal disease mapping.
Series Title: Interdisciplinary statistics.
Other Titles: Hierarchical modeling in spatial epidemiology
Responsibility: Andrew B. Lawson.

Abstract:

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.

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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 Read more...

 
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