| Applied Spatial Statistics for Public Health Data Contributor(s): Waller, Lance A. (Author), Gotway, Carol A. (Author) |
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ISBN: 0471387711 ISBN-13: 9780471387718 Publisher: Wiley-Interscience OUR PRICE: $185.20 Product Type: Hardcover - Other Formats Published: July 2004 Annotation: An application-based introduction to the statistical analysis of spatially referenced health data Sparked by the growing interest in statistical methods for the analysis of spatially referenced data in the field of public health, "Applied Spatial Statistics for Public Health Data" fills the need for an introductory, application-oriented text on this timely subject. Written for practicing public health researchers as well as graduate students in related fields, the text provides a thorough introduction to basic concepts and methods in applied spatial statistics as well as a detailed treatment of some of the more recent methods in spatial statistics useful for public health studies that have not been previously covered elsewhere. Assuming minimal knowledge of spatial statistics, the authors provide important statistical approaches for assessing such questions as: Are newly occurring cases of a disease "clustered" in space? Do the cases cluster around suspected sources of increased risk, such as toxic waste sites or other environmental hazards? How do we take monitored pollution concentrations measured at specific locations and interpolate them to locations where no measurements were taken? How do we quantify associations between local disease rates and local exposures? After reviewing traditional statistical methods used in public health research, the text provides an overview of the basic features of spatial data, illustrates various geographic mapping and visualization tools, and describes the sources of publicly available spatial data that might be useful in public health applications. |
| Additional Information |
| BISAC Categories: - Medical | Biostatistics - Medical | Public Health - Mathematics | Probability & Statistics - General |
| Dewey: 614.072 |
| LCCN: 2003066065 |
| Series: Wiley Probability and Statistics |
| Physical Information: 1.14" H x 6.44" W x 9.58" (1.87 lbs) 520 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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 |