Abstract Details
Activity Number:
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20
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 9, 2015 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract #315638
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View Presentation
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Title:
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Simple Fixed-Effects Inference for Complex Functional Models
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Author(s):
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So Young Park* and Ana-Maria Staicu and Luo Xiao and Ciprian Crainiceanu
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Companies:
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North Carolina State University and North Carolina State University and The Johns Hopkins University and The Johns Hopkins University
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Keywords:
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correlated functional data ;
inference ;
fixed effects ;
confidence interval ;
testing ;
aging
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Abstract:
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We propose simple inferential approaches for the fixed effects in complex functional mixed effects models. We estimate the fixed effects under the independence of functional residuals assumption and then bootstrap independent units (e.g. subjects) to estimate the variability of and conduct inference on the fixed effects parameters. Simulations show excellent coverage probability of the confidence intervals and size of tests. Methods are motivated by and applied to the Baltimore Longitudinal Study of Aging (BLSA), though they are applicable to other studies that collect correlated functional data.
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Authors who are presenting talks have a * after their name.
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