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Activity Number: 435 - Making the Most of Wearable Device Data: Functional Data Approaches
Type: Invited
Date/Time: Thursday, August 6, 2020 : 10:00 AM to 11:50 AM
Sponsor: Biometrics Section
Abstract #309364
Title: Functional Regression with Survey Weights and Its Application to NHANES 2003-2006
Author(s): Lucia Tabacu* and Ekaterina Smirnova and Andrew Leroux and Ciprian Crainiceanu
Companies: Old Dominion University and Virginia Commonwealth University and Johns Hopkins University and Johns Hopkins University
Keywords: NHANES; survey weights; accelerometry ; bootstrap ; functional regression; complex survey

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.

Authors who are presenting talks have a * after their name.

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