|
Activity Number:
|
268
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
ENAR
|
| Abstract - #305574 |
|
Title:
|
Statistical Inferences from Formaldehyde DNA-Protein Cross-Link Data
|
|
Author(s):
|
Martin Klein*+
|
|
Companies:
|
University of Maryland, Baltimore County
|
|
Address:
|
12140A Heneson Garth, Owings Mills, MD, 21117,
|
|
Keywords:
|
PBPK models ; nonlinear regression models ; ordinary differential equations ; DNA-protein cross-links (DPX) ; formaldehyde
|
|
Abstract:
|
Physiologically-based pharmacokinetic (PBPK) modeling has reached considerable sophistication in its application in the pharmacological and environmental health areas. Yet, mature methodologies for making statistical inferences have not been routinely incorporated in these applications except in a few data-rich cases. In this paper, we work with a previously developed PBPK model for the formation and disposition of DNA-protein cross-links formed by inhaled formaldehyde in the nasal lining of rats and rhesus monkeys and provide improved statistical inference on estimated model parameters. We purposefully choose this model because it is based on sparse time course data.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2009 program |
