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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 383
Type: Contributed
Date/Time: Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
Sponsor: Section on Risk Analysis
Abstract - #309859
Title: Bayesian Analysis of Physiologically Based Pharmacokinetics Modeling of Perchloroethylene in Humans
Author(s): Junshan Qiu*+
Companies: University of Georgia
Address: 225 Venita drive, Athens, 30605,
Keywords: PBPK model ; Perchloroethylene ; Markov Chain Monte Carlo ; Bayesian
Abstract:

Perchloroethylene (Perc) is a widely distributed pollutant. The cancer risks of Perc at low exposures are uncertain. Perc occurs widely in the dry cleaning establishments and also can be found in indoor air. However, the concentrations of Perc are mostly below 1ppm. Therefore, it is very important to assess cancer risks at these low concentrations. A human physiologically based pharmacokinetics (PBPK) model was used to quantify tissue doses of Perc and its key metabolite, Trichloroacetic Acid (TCA) after inhalation exposures. This PBPK model was integrated with a statistical hierarchical model to acknowledge variations due to intra/interindividual variation, measurement error and difference between study methods. One important contribution of this study is to estimate population distributions of PBPK model parameters. Another is to make a dose reconstruction with clinical data.


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Revised September, 2007