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Activity Number:
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666
- Prediction and Calibration
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Type:
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Contributed
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Date/Time:
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Thursday, August 3, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract #324605
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View Presentation
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Title:
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Early-Life Exposures and Longitudinal Growth Patterns: A Comparison of Statistical Methods
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Author(s):
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Brianna Heggeseth*
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Companies:
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Williams College
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Keywords:
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Longitudinal data ;
Environmental Exposures ;
Mixture Models
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Abstract:
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There is a growing literature that suggests exposure to endocrine disrupting chemicals during key developmental periods could have potentially harmful impacts on growth and development of children. Understanding and estimating the relationship between exposure and growth over time is vital to studying the adverse impacts of environmental exposure on public health. Given the possibility of a non-monotone dose response and nonlinear growth during childhood, we compare a variety of statistical tools used to measure this association. We compare existing tools using simulation studies as well as real childhood growth data and propose concrete modeling strategies to estimate potentially complex relationships with growth patterns. ?
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Authors who are presenting talks have a * after their name.
