Activity Number:
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485
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 3, 2016 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Learning and Data Science
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Abstract #321157
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View Presentation
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Title:
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Functional Data Methods for Child Growth Data
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Author(s):
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Luo Xiao* and Andrew Leroux and William Checkley and Ciprian Crainiceanu
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Companies:
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North Carolina State University and Johns Hopkins Bloomberg School of Public Health and The Johns Hopkins University and The Johns Hopkins University
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Keywords:
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Functional data ;
Longitudinal data
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Abstract:
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We will present functional mixed models for modeling longitudinal child growth data.
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Authors who are presenting talks have a * after their name.