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Activity Number:
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131
- Simulation and MCMC
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2018 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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Abstract #328687
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Presentation
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Title:
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The CBD-O Model for Modeling Obesity Prevalence
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Author(s):
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Tatjana Miljkovic* and Seonjin Kim
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Companies:
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Miami University and Miami University
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Keywords:
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CBD; age-period-cohort; obesity; CBD-O; stochastic modeling; stochastic modeling
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Abstract:
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Modeling and projecting the obesity prevalence have an important implication in the evaluation of mortality risk. A large volume of literature exists in the area of modeling mortality rates, but very few models have been developed for modeling obesity prevalence. We developed the CBD-O stochastic model for modeling the obesity prevalence that accounts for an age and period effect as well as a cohort effect. The CBD-O model is used to model obesity prevalence for the United States population, aged 23-90, during the period 1988-2012. Forecast is validated in comparison to the actual data for the period 2013-2015.
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Authors who are presenting talks have a * after their name.
