期刊
BIOSTATISTICS
卷 19, 期 2, 页码 137-152出版社
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxx026
关键词
Bootstrap/resampling; Functional data; Measurement error; Smoothing and nonparametric regression
资金
- NSF [DMS 1007466, DMS 1454942]
- NIH [R01 NS085211, R01 MH086633, R01 NS060910, R01 HL123407]
- NIA [HHSN27121400603P, HHSN27120400775P]
- Direct For Mathematical & Physical Scien
- Division Of Mathematical Sciences [1454942] Funding Source: National Science Foundation
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 conduct inference on the fixed effects parameters. Simulations show excellent coverage probability of the confidence intervals and size of tests for the fixed effects model parameters. Methods are motivated by and applied to the Baltimore Longitudinal Study of Aging, though they are applicable to other studies that collect correlated functional data.
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