|
Product 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.
Customers Who Bought This Item Also Bought
- Bringing Bayesian Models to Life (Chapman & Hall/CRC Applied Environmental Statistics)
- Bayesian Regression Modeling with INLA (Chapman & Hall/CRC Computer Science & Data Analysis)
- Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition (Chapman & Hall/CRC Interdisciplinary Statistics)
- Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)
- Environmental Epidemiology: Study methods and application
- Bayesian Inference for Stochastic Processes
- Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses
- Modern Epidemiology
- The Book of Why: The New Science of Cause and Effect
- Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
*If this is not the "Spatio-Temporal Methods in Environmental Epidemiology (Chapman & Hall/CRC Texts in Statistical Scien" product you were looking for, you can check the other results by clicking this link. Details were last updated on Dec 25, 2024 12:22 +08.