This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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32
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Type:
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Contributed
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Date/Time:
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Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #308548 |
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Title:
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Bayesian Modeling of Smoking Exposure During Pregnancy
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Author(s):
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Vanja Dukic*+
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Companies:
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The University of Chicago
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Address:
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MC 2007, Chicago, IL, 60637,
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Keywords:
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biomarkers ;
smoking ;
exposure ;
pregnancy ;
Bayesian ;
modeling
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Abstract:
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Studies of effects of prenatal exposure to cigarettes frequently acquire both self-report and biologic assays (such as cotinine levels in urine or blood) of maternal smoking. Those measures have their own sources of information and bias. Single bioassay measures alone cannot reflect the metabolic mechanism over time, while self-report is subject to recall, reporting, topographic, and metabolic biases. This project presents a new Bayesian statistical model for in utreo smoking exposure based on the combined biological and self-report information, which is capable of accounting for heterogeneity among women during pregnancy.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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