Work

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

Year: 2011

Type: article

Abstract: 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.

Source: Environmental Health

DOI: 10.1186/1476-069x-10-57

Authors: Scott M Bartell, Wesley O Johnson

Institution: University of California, Irvine

Language: English

Topic: Statistical Methods in Epidemiology

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,490

Funder: U.S. Environmental Protection Agency