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Activity Number:
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381
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2016 : 10:30 AM to 11:15 AM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract #321607
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Title:
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Childhood Obesity Modeling with a Semi-Markov Process
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Author(s):
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Richard Seymour*
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Companies:
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U.S. Air Force
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Keywords:
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Childhood Obesity ;
Semi-Markov Process ;
Goodness of Fit
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Abstract:
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This paper demonstrates a multi-state model for childhood obesity data. The model tracks a subject as they transition between categorical states based on their body-mass index. Current subject data is compared with a historical state model to determine if and how childhood obesity rates are changing over time. This comparison is conducted with a goodness of fit test based on the multi-state model's covariance structure. This test requires expectations generated by Laplace transformations and a simulated model covariance matrix. Simulation demonstrates that the test can differentiate between similar hypothesized obesity models.
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Authors who are presenting talks have a * after their name.
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