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  • 标题:Estimating equations for biomarker based exposure estimation under non-steady-state conditions
  • 本地全文:下载
  • 作者:Scott M Bartell ; Wesley O Johnson
  • 期刊名称:Environmental Health - a Global Access Science Source
  • 印刷版ISSN:1476-069X
  • 电子版ISSN:1476-069X
  • 出版年度:2011
  • 卷号:10
  • 期号:1
  • 页码:57
  • DOI:10.1186/1476-069X-10-57
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:Unrealistic steady-state assumptions are often used to estimate toxicant exposure rates from biomarkers. A biomarker may instead be modeled as a weighted sum of historical time-varying exposures. Estimating equations are derived for a zero-inflated gamma distribution for daily exposures with a known exposure frequency. Simulation studies suggest that the estimating equations can provide accurate estimates of exposure magnitude at any reasonable sample size, and reasonable estimates of the exposure variance at larger sample sizes.
  • 关键词:Exposure Rate ; Mercury Exposure ; Exposure Frequency ; Exposure Pattern ; Hair Segment
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