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Statistical Methods in Environmental Epidemiology de Duncan C. Thomas

Descripción - Críticas IStatistical 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) Reseña del editor 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 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. Biografía del autor Dr. Thomas is Professor of Preventive Medicine, Director of the Biostatistics Division, and Verna R. Richter Chair in Cancer Research at the University of Southern California Keck School of Medicine. He received his undergraduate degree from Haverford College, an M.S. in Mathematics from Stanford University, and a Ph.D. in Epidemiology and Biostatistics from McGill University in 1976. His primary research interest has been in the development of statistical methods in epidemiology, both environmental and genetic. He was a member of President Clinton's Advisory Committee on Human Radiation Experiments, as well as the National Academy of Sciences Committee on the Biological Effects of Ionizing Radiation (BEIR V), and radiation advisory committees for other governmental agencies. Dr. Thomas has many publications in statistical genetics, including the textbook Statistical Methods in Genetic Epidemiology (OUP, 2004), and is a past President of the International Genetic Epidiology Society.

Statistical methods in environmental epidemiology environmental epidemiology is a field of growing statistical sophistication and policy relevance dramatic increases in the availability and complexity of data have driven environmental epidemiology students and practitioners to search for new methods of addressing challenges such as 1 disparate spatial and temporal resolution of data 2 complex associations between environmental Statistical methods for environmental epidemiology with r 2 statistical methods for environmental epidemiology with r the rest of the book is mostly about traditional statistical model building, although by using these new tools chapter 4 is a brief discussion of statistical issues in estimating health e ects from exposure data Statistical methods for environmental epidemiology with r as an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas the

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Detalles del Libro

• Name: Statistical Methods in Environmental Epidemiology
  
• Autor: Duncan C. Thomas
  
• Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
  
• Tamaño del archivo: 16 MB
  
• Tipos de archivo: PDF Document
  
• Idioma: Español
  
• Archivos de estado: AVAILABLE
  

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Appropriate use of statistical methods in the analysis and additionally, see 1b statistical methods module of the website which includes detailed descriptions of the commonly used statistical techniques that feature on the mfph part a syllabus epidemiology and the role of chance 1 it is important to remember that epidemiological studies are limited to a sample of individuals from a population, because it is usually impractical to include everyone An introduction to epidemiologic and statistical methods we focused on environmental air pollution epidemiology and reviewed some of the salient epidemiologic and statistical methods because casecrossover designs are variants of matched casecontrol studies, the use of matched analyses, such as the mantelhaenszel methods or conditional logistic regressions, is required Statistical methods in environmental epidemiology book get this from a library statistical methods in environmental epidemiology duncan c thomas 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

Statistical methods in environmental epidemiology ebook get this from a library statistical methods in environmental epidemiology 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 Statistical methods for environmental epidemiology with r advances in statistical methodology and computing have played an important role in allowing researchers to more accurately assess the health effects of ambient air pollution the methods and software developed in this area are applicable to a wide array of problems in environmental epidemiology Statistical methods in environmental epidemiology his primary research interest has been in the development of statistical methods in epidemiology, both environmental and genetic he was a member of president clintons advisory committee on human radiation experiments, as well as the national academy of sciences committee on the biological effects of ionizing radiation beir v, and radiation advisory committees for other governmental agencies