9781482237030-1482237032-Spatio-Temporal Methods in Environmental Epidemiology (Chapman & Hall/CRC Texts in Statistical Science)

Spatio-Temporal Methods in Environmental Epidemiology (Chapman & Hall/CRC Texts in Statistical Science)

ISBN-13: 9781482237030
ISBN-10: 1482237032
Edition: 1
Author: Shaddick, Gavin, Zidek, James V.
Publication date: 2015
Publisher: Chapman and Hall/CRC
Format: Hardcover 400 pages
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Book details

ISBN-13: 9781482237030
ISBN-10: 1482237032
Edition: 1
Author: Shaddick, Gavin, Zidek, James V.
Publication date: 2015
Publisher: Chapman and Hall/CRC
Format: Hardcover 400 pages

Summary

Acknowledged authors Shaddick, Gavin, Zidek, James V. wrote Spatio-Temporal Methods in Environmental Epidemiology (Chapman & Hall/CRC Texts in Statistical Science) comprising 400 pages back in 2015. Textbook and eTextbook are published under ISBN 1482237032 and 9781482237030. Since then Spatio-Temporal Methods in Environmental Epidemiology (Chapman & Hall/CRC Texts in Statistical Science) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological Studies

Spatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling. In response to the growing need for collaboration between statisticians and environmental epidemiologists, the book links recent developments in spatio-temporal methodology with epidemiological applications. Drawing on real-life problems, it provides the necessary tools to exploit advances in methodology when assessing the health risks associated with environmental hazards. The book’s 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 spatio-temporal modeling to new research directions. It describes traditional and Bayesian approaches and presents the theory of spatial, temporal, and spatio-temporal 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 book―in full color throughout―underscores 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 spatio-temporal data as well as exploit dependencies over space and time to reduce bias and inefficiency.

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