Statistical Methods in Spatial Epidemiology (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2006
Series: Book 246 of 358 - Wiley Series in Probability and Statistics
- Hardcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 116.49
Quantity: 1 available
Add to basketItem description from seller
Hardcover. 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 of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, ecological analysis, disease clustering, bio-terrorism, space-time analysis, surveillance and infectious disease modelling. Provides a comprehensive overview of the main statistical methods used in spatial epidemiology.Updated to include a new emphasis on bio-terrorism and disease surveillance.Emphasizes the importance of space-time modelling and outlines the practical application of the method.Discusses the wide range of software available for analyzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software.Contains numerous data sets, each representing a different approach to the analysis, and provides an insight into various modelling techniques. This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies. Statistical Methods in Spatial Epidemiology, Second Edition describes, quantifies, and explains geographical variations in disease. The second edition has been updated and expanded in light of the events of September 11, 2001, and increasing concern over potential bioterrorism attacks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9780470014844
- Title
- Statistical Methods in Spatial Epidemiology (Hardcover)
- Author
- Andrew B. Lawson
- Publisher
- John Wiley & Sons Inc, New York
- Publication year
- 2006
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0470014849
- ISBN 13
- 9780470014844
- Edition
- 2nd Edition
- Series
- Book 246 of 358: Wiley Series in Probability and Statistics
- Provides a comprehensive overview of the main statistical methods used in spatial epidemiology.
- Updated to include a new emphasis on bio-terrorism and disease surveillance.
- Emphasizes the importance of space-time modelling and outlines the practical application of the method.
- Discusses the wide range of software available for analyzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software.
- Contains numerous data sets, each representing a different approach to the analysis, and provides an insight into various modelling techniques.
This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 14 business days | 7 to 60 business days |
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| First item | £ 37.00 | £ 37.00 |
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