|
Activity Number:
|
40
|
|
Type:
|
Invited
|
|
Date/Time:
|
Sunday, August 6, 2006 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
General Methodology
|
| Abstract - #305136 |
|
Title:
|
Analysis of Complex Pathways in Molecular Epidemiology
|
|
Author(s):
|
Duncan C. Thomas*+
|
|
Companies:
|
University of Southern California
|
|
Address:
|
Department of Preventive Medicine, Los Angeles, CA, 90089-9011,
|
|
Keywords:
|
pathways ; gene networks ; molecular epidemiology ; pharmacokinetic models ; statistical genetics
|
|
Abstract:
|
Molecular epidemiology is evolving rapidly from consideration of single genes (or in pairwise combinations with each other or with a single environmental factor) toward entire pathways or networks involving many factors in combination. Study designs and analysis methods for pathway-driven research are still in their infancy. Several approaches to this problem will be discussed, ranging from purely exploratory tools to hierarchical models to highly mechanistic pharmacokinetic models. A major concern is with uncertainty about model choice (the 'topology' of a network), for which Bayesian model averaging may be useful. Particularly attractive are approaches that allow for incorporation of prior biological knowledge or measurements of intermediate biomarkers. By simulation and application to epidemiologic data, the potential of various modeling approaches will be explored.
|
- 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 2006 program |
