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ANALYSIS OF UNCERTAINTIES IN DOSE RECONSTRUCTION FROM BIOMARKERS: IMPACT ON STUDY DESIGN
Citation:
Okino, M S., J J. Quackenboss, AND K W. Thomas. ANALYSIS OF UNCERTAINTIES IN DOSE RECONSTRUCTION FROM BIOMARKERS: IMPACT ON STUDY DESIGN. Presented at Biomarkers: Taking Stock EPA/NIEHS Workshop on Applying Biomarker Research, Chapel Hill, NC, August 30-31, 1999.
Description:
The absorbed dose is defined as the quantity which has passed through the barriers (skin, GI tract, The absorbed dose of a pesticide can be estimated from its established urinary biomarker. ungs). For an exposure study, there are several options for biomarker collection, each with advantages and disadvantages in terms of model and scenario uncertainty, subject participation and compliance, and cost. Model uncertainty contains the parameters used for the calculation of dose as well as the ability of the model to simulate the real physical situation. Scenario uncertainty includes the activities of the subject such as other exposures to the target chemical, compliance with measurement protocols, and the timing of the monitored dose. We will demonstrate the effect of scenario and model uncertainties on the dose estimates, and how the uncertainty analysis may be used to guide the design of a study. For an occupational assessment, we will compare the uncertainty associated with collecting spot samples versus total urine collection.
This work has been funded wholly or in part by the United States Environmental Protection Agency. It has been subjected to Agency review and approved for publication