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Activity Number:
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435
- Making the Most of Wearable Device Data: Functional Data Approaches
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Type:
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Invited
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Date/Time:
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Thursday, August 6, 2020 : 10:00 AM to 11:50 AM
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Sponsor:
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Biometrics Section
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Abstract #309364
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Title:
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Functional Regression with Survey Weights and Its Application to NHANES 2003-2006
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Author(s):
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Lucia Tabacu* and Ekaterina Smirnova and Andrew Leroux and Ciprian Crainiceanu
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Companies:
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Old Dominion University and Virginia Commonwealth University and Johns Hopkins University and Johns Hopkins University
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Keywords:
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NHANES;
survey weights;
accelerometry ;
bootstrap ;
functional regression;
complex survey
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Abstract:
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We discuss functional regression models with incorporated complex survey weights. We use a bootstrap procedure appropriate for estimating variances in stratified multistage surveys. As an application we focus on building all-cause mortality predictive model using accelerometry data from the National Health and Nutrition Examination Survey 2003-2006.
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Authors who are presenting talks have a * after their name.
