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Activity Number:
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76
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Type:
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Contributed
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Date/Time:
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Sunday, August 2, 2009 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #304776 |
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Title:
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Identify Misspecified Gestational Ages in Pre-Term Babies with Bayesian Mixture Models
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Author(s):
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Guangyu Zhang*+ and Jennifer D. Parker and Nathaniel Schenker and Dan Liao and Hoda Hammad
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Companies:
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University of Maryland and National Center for Health Statistics and National Center for Health Statistics and University of Maryland and University of Maryland
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Address:
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1242 B SPH, College Park, MD, 20742,
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Keywords:
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Bayesian ; mixture model ; misspecified gestational ages
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Abstract:
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Body weight and gestational ages are two important variables in obstetrics research and clinical practice. Weight of a newborn can be measured accurately; however, gestational ages are calculated based on a mother's recall of the last menstrual period, which will introduce random or systematic errors. In this study we use Bayesian mixture models to identify misspecified gestational ages of preterm babies. Simulation studies are conducted and the method is applied to the 2002 birth data of the United States.
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