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Teaches Students How to Perform SpatioTemporal Analyses within Epidemiological StudiesSpatioTemporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatiotemporal modeling. In response to the growing need for collaboration between statisticians and environmental epidemiologists, the book links recent developments in spatiotemporal methodology with epidemiological applications. Drawing on reallife problems, it provides the necessary tools to exploit advances in methodology when assessing the health risks associated with environmental hazards. The books clear guidelines enable the implementation of the methodology and estimation of risks in practice.Designed for graduate students in both epidemiology and statistics, the text covers a wide range of topics, from an introduction to epidemiological principles and the foundations of spatiotemporal modeling to new research directions. It describes traditional and Bayesian approaches and presents the theory of spatial, temporal, and spatiotemporal modeling in the context of its application to environmental epidemiology. The text includes practical examples together with embedded R code, details of specific R packages, and the use of other software, such as WinBUGS/OpenBUGS and integrated nested Laplace approximations (INLA). A supplementary website provides additional code, data, examples, exercises, lab projects, and more.Representing a major new direction in environmental epidemiology, this bookin full color throughoutunderscores the increasing need to consider dependencies in both space and time when modeling epidemiological data. Students will learn how to identify and model patterns in spatiotemporal data as well as exploit dependencies over space and time to reduce bias and inefficiency.
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