Abstract Details
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Activity Number:
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62
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
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Sponsor:
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Health Policy Statistics Section
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| Abstract - #308395 |
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Title:
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Estimating Dynamic Health Systems Models from Cross-Sectional Data
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Author(s):
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Hazhir Rahmandad*+
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Companies:
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Keywords:
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method of simulated moments ;
cross sectional ;
system dynamics ;
public health ;
estimation
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Abstract:
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The use of complex dynamic models with multiple systemic feedbacks, delays, and uncertainties has been on the rise in the public health domain. While time series and panel data are usually used for estimating dynamic models, many large scale and high quality data sources in health domain are cross sectional. In this presentation I discuss the use of simulated method of moments for estimating a complex system dynamics model of weight gain and loss from National Health and Nutrition Examination Survey (NHANES) data. Besides the contributions to the study of obesity, the methods used can provide a natural bridge between statisticians and dynamic modelers.
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Authors who are presenting talks have a * after their name.
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