"_Statistical Methods in Environmental Epidemiology_ is primed to be a valuable resource for a wide range of audiences. The book provides a flexible foundation for an introductory course and can easily be supplemented with additional dashes of theory, computing, or case studies as needed for the particular venue. We are thankful to the book's sole author, whose substantial effort has produced a broad-reaching and forward-looking contribution to environmental epidemiology."--_American Journal of Epidemiology_
"This book does a superb job of presenting an overview of the statistical methods that are most often used in environmental epidemiology. The author strikes a healthy balance between presenting the methods in theory and applying them to actual studies. This would serve as an excellent reference for students looking for a book that introduces the statistical methods they need to know for environmental epidemiology."--_Doody's_
Product Description
Environmental epidemiology is the study of the environmental causes of disease in populations and how these risks vary in relation to intensity and duration of exposure and other factors like genetic susceptibility. As such, it is the basic science upon which governmental safety standards and compensation policies for environmental and occupational exposure are based. Profusely illustrated with examples from the epidemiologic literature on ionizing radiation and air pollution, this text provides a systematic treatment of the statistical challenges that arise in environmental health studies and the use of epidemiologic data in formulating public policy, at a level suitable for graduate students and epidemiologic researchers.
After a general overview of study design and statistical methods for epidemiology generally, the book goes on to address the problems that are unique to environmental health studies, special-purpose designs like two-phase case-control studies and countermatching, statistical methods for modeling exposure-time-response relationships, longitudinal and time-series studies, spatial and ecologic methods, exposure measurement error, interactions, and mechanistic models. It also discusses studies aimed at evaluating the public health benefits of interventions to improve the environment, the use of epidemiologic data to establish environmental safety standards and compensation policy, and concludes with emerging problems in reproductive epidemiology, natural and man-made disasters like global warming, and the global burden of environmentally caused disease. No other book provides such a broad perspective on the methodological challenges in this field at a level accessible to both epidemiologists and statisticians.
Description:
Review
"_Statistical Methods in Environmental Epidemiology_ is primed to be a valuable resource for a wide range of audiences. The book provides a flexible foundation for an introductory course and can easily be supplemented with additional dashes of theory, computing, or case studies as needed for the particular venue. We are thankful to the book's sole author, whose substantial effort has produced a broad-reaching and forward-looking contribution to environmental epidemiology."--_American Journal of Epidemiology_
"This book does a superb job of presenting an overview of the statistical methods that are most often used in environmental epidemiology. The author strikes a healthy balance between presenting the methods in theory and applying them to actual studies. This would serve as an excellent reference for students looking for a book that introduces the statistical methods they need to know for environmental epidemiology."--_Doody's_
Product Description
Environmental epidemiology is the study of the environmental causes of disease in populations and how these risks vary in relation to intensity and duration of exposure and other factors like genetic susceptibility. As such, it is the basic science upon which governmental safety standards and compensation policies for environmental and occupational exposure are based. Profusely illustrated with examples from the epidemiologic literature on ionizing radiation and air pollution, this text provides a systematic treatment of the statistical challenges that arise in environmental health studies and the use of epidemiologic data in formulating public policy, at a level suitable for graduate students and epidemiologic researchers.
After a general overview of study design and statistical methods for epidemiology generally, the book goes on to address the problems that are unique to environmental health studies, special-purpose designs like two-phase case-control studies and countermatching, statistical methods for modeling exposure-time-response relationships, longitudinal and time-series studies, spatial and ecologic methods, exposure measurement error, interactions, and mechanistic models. It also discusses studies aimed at evaluating the public health benefits of interventions to improve the environment, the use of epidemiologic data to establish environmental safety standards and compensation policy, and concludes with emerging problems in reproductive epidemiology, natural and man-made disasters like global warming, and the global burden of environmentally caused disease. No other book provides such a broad perspective on the methodological challenges in this field at a level accessible to both epidemiologists and statisticians.