Description
Oxford University Statistical Methods In Environmental Epidemiology by Duncan C. Thomas
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_x000D_pollution, this text provides a systematic treatment of the statistical challenges that arise in environmental health studies and the use epidemiologic data in formulating public policy, at a level suitable for graduate students and epidemiologic researchers._x000D__x000D_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_x000D_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_x000D_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._x000D_ Table of Contents:- _x000D_
PREFACE ; 1. A Tale of Two Exposures: Ionizing Radiation and Air Pollution ; 2. Basic Epidemiologc Studies ; 3. Basic Statistical Methods ; 4. Multivariate Models ; 5. Some Special Purpose Designs ; 6. Modeling Exposure-Time-Response Relationships ; 7. Longitudinal Models ; 8. Time Series Models for Acute Effects ; 9. Spatial Models ; 10. Ecologic Interference ; 11. Measurement Error and Exposure Models ; 12. Multiple Risk Factors and Interactions ; 13. Mechanistic Models ; 14. Intervention Studies ; 15. Risk Assessment ; 16. Probability of Causation and Compensation ; 17. Further Challenges ; REFERENCES ; INDEX_x000D_