Statistical methods in environmental epidemiology

Statistical methods in environmental epidemiology

by Thomas, Duncan C.

Type Book
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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, thistext provides…

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Title Statements

  • Full title :Statistical methods in environmental epidemiology / Duncan C. Thomas.

Summary

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, thistext provides a systematic treatment of thestatistical challenges that arise in environmental health studies and.

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Edition Statements

  • Publication Date:2009.

Publication Statements

The Physical Object

  • Description:1 ressource en ligne

Edition Identifiers

  • ISBN:0191552682, 9780191552687
  • oclc:ocn656791738
  • LC Classification:RA566
  • Dewey Decimal:614.4/2015195

Table of Contents

A tale of two exposures -- Basic epidemiologic study designs -- Basic statistical methods -- Multivariate models -- Some special-purpose designs -- Modeling exposure-time-response relationships -- Longitudinal models -- Time-series models for acute effects -- Spatial models -- Ecologic inference -- Measurement error and exposure models -- Multiple risk factors and interactions -- Mechanistic models -- Intervention studies -- Risk assessment -- Probabilityof causation and compensation -- Further challenges.

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