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Activity Number: 381
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 10:30 AM to 11:15 AM
Sponsor: Section on Statistics in Epidemiology
Abstract #321607
Title: Childhood Obesity Modeling with a Semi-Markov Process
Author(s): Richard Seymour*
Companies: U.S. Air Force
Keywords: Childhood Obesity ; Semi-Markov Process ; Goodness of Fit

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.

Authors who are presenting talks have a * after their name.

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