This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 586
Type: Contributed
Date/Time: Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #308414
Title: Variable Selection for Identifying Environmental Contaminants Associated with Human Fecundity
Author(s): Sung Duk Kim*+ and Rajeshwari Sundaram and Germaine M. Buck Louis
Companies: Eunice Kennedy Shriver National Institute of Child Health and Human Development and Eunice Kennedy Shriver National Institute of Child Health and Human Development and Eunice Kennedy Shriver National Institute of Child Health and Human Development
Address: 6100 Executive Boulevard, Rockville, MD, 20852,
Keywords: Discrete survival model ; PCBs ; Stochastic search ; Variable selection
Abstract:

A question of considerable interest is the identification of polychlorinated biphenyl congeners (PCBs) and lifestyle factors that are associated with human fecundity defined as the biologic capacity for reproduction. Human fecundity is quantitatively measured through time-to-pregnancy, the number of menstrual cycles needed to become pregnant, a censored discrete survival time. To assess their association with human fecundity requires variable selection in high-dimensional setup with the outcome of interest being a discrete right-censored survival time. In this paper, we propose a Bayesian variable selection approach, which allows the identification of PCBs relevant for fecundity by jointly assessing mixtures of chemicals. We will investigate our methods through simulations and the analysis of prospective pregnancy cohort study.


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