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Activity Number: 133
Type: Topic Contributed
Date/Time: Monday, August 7, 2006 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #306055
Title: Bayesian Estimation of the Percentiles of Overweight
Author(s): Jai Choi*+ and Balgobin Nandram
Companies: National Center for Health Statistics and Worcester Polytechnic Institute
Address: 3311 Toledo Road, Hyattsville, MD, 20782,
Keywords: finite population percentile ; logistic spline regression ; selection bias ; nonresponse bias
Abstract:

We analyze body mass index (BMI) data from the third National Health and Nutrition Examination Survey (NHANES III), which assesses the health status of the U.S. population. We studied two important features in these data. First, because there are no BMI values for a considerable number of the children and adolescents under study, there was serious chance for nonresponse bias. Second, there are differential probabilities of election. To assess the status of overweight and obesity in children and adolescents, we predicted the finite population percentile BMI for domains (small areas) formed by age, race, and sex in 35 large counties and showed how to include the selection probabilities into a nonignorable nonresponse model, which is difficult because there is no simple functional relation between the BMI values and the selection probabilities.

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