Literature DB >> 18648630

A graphical method to evaluate exposure-response relationships in epidemiologic studies using standardized mortality or morbidity ratios.

Edwin van Wijngaarden1.   

Abstract

In occupational epidemiology, exposure-response analyses play an important role in the evaluation of the etiologic relevance of chemical and physical exposures. The standardized mortality or morbidity ratio (SMR) has been commonly used in occupational cohort studies. Statistical approaches to evaluate exposure-response patterns using SMRs have mostly been limited to analyses in which the exposure under investigation is categorized. Here, a graphical method for evaluating exposure-response patterns is presented based on SMR estimates across moving exposure windows. This method is demonstrated using the results of two hypothetical cohort studies. The proposed approach may be useful for graphical exploration of exposure-response trends in situations where the number of observed cases is small.

Keywords:  cohort studies; exposure-response analysis; moving exposure windows; occupational epidemiology; standardized mortality ratio

Year:  2006        PMID: 18648630      PMCID: PMC2477200          DOI: 10.2203/dose-response.003.04.003

Source DB:  PubMed          Journal:  Dose Response        ISSN: 1559-3258            Impact factor:   2.658


  16 in total

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Authors:  K M Boucher; M L Slattery; T D Berry; C Quesenberry; K Anderson
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Journal:  Am J Ind Med       Date:  1997-04       Impact factor: 2.214

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Authors:  I Hertz-Picciotto; A H Smith
Journal:  Scand J Work Environ Health       Date:  1993-08       Impact factor: 5.024

9.  Reevaluation of lung cancer risk in the acrylonitrile cohort study of the National Cancer Institute and the National Institute for Occupational Safety and Health.

Authors:  G M Marsh; A O Youk; J J Collins
Journal:  Scand J Work Environ Health       Date:  2001-02       Impact factor: 5.024

10.  Crystalline silica exposure and lung cancer mortality in diatomaceous earth industry workers: a quantitative risk assessment.

Authors:  F L Rice; R Park; L Stayner; R Smith; S Gilbert; H Checkoway
Journal:  Occup Environ Med       Date:  2001-01       Impact factor: 4.402

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  1 in total

1.  Statistical challenges in evaluating dose-response using epidemiological data.

Authors:  Kenneth A Mundt
Journal:  Dose Response       Date:  2006-05-22       Impact factor: 2.658

  1 in total

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