Applied Spatial Statistics for Public Health Data
By addebook • Jun 28th, 2008 • Category: Mathematics •
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Applied Spatial Statistics for Public Health Data
By Lance A. Waller, Carol A. Gotway,
Publisher: Wiley-Interscience
Number Of Pages: 520
Publication Date: 2004-07-15
Sales Rank: 240226
ISBN / ASIN: 0471387711
EAN: 9780471387718
Binding: Hardcover
Manufacturer: Wiley-Interscience
Studio: Wiley-Interscience
Average Rating: 5
While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data.
This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field
Requires only minimal background in public health and only some knowledge of statistics through multiple regression
Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure
Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of “data breaks”)
Exercises based on data analyses reinforce concepts
Download Description:
While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data.
This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field
Requires only minimal background in public health and only some knowledge of statistics through multiple regression
Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure
Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of “data breaks”)
Exercises based on data analyses reinforce concepts
Review:
Outstanding!
This book is incredably well-written. Although I had not read a statistics text in 12 years, this book balanced theoretical development, explanation, and examples in such a way that it was actually easy to read. The organization of the book makes looking up a particular topic very easy. The reference list is extensive. The best thing about the book is the set of graphics and maps to illustrate the mathematics, modeling, and outcomes. This book is a must-have for anyone involved in spatial statistics, disease clustering, epidemiology.password:
http://rapidshare.com/files/53440368/t03550.rar
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