Estimating equations for biomarker based exposure estimation under non-steady-state conditions

Environmental Health

Methodology

Wesley O Johnson¹  Scott M Bartell² 

[1] Department of Statistics, University of California, 92697-1250, Irvine, CA, USA;Program in Public Health, University of California, 92697-3957, Irvine, CA, USA;Department of Statistics, University of California, 92697-1250, Irvine, CA, USA;

关键词: Exposure Rate;    Mercury Exposure;    Exposure Frequency;    Exposure Pattern;    Hair Segment;   

DOI  :  10.1186/1476-069X-10-57

 received in 2010-10-08, accepted in 2011-06-13,  发布年份 2011

来源: Springer

【 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.

【 授权许可】

CC BY   
© Bartell and Johnson; licensee BioMed Central Ltd. 2011