期刊
STATISTICAL MODELLING
卷 16, 期 2, 页码 114-139出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/1471082X15626291
关键词
functional data analysis; Longitudinal data; LongPEER estimate; structured penalty; generalized singular value decomposition
资金
- National Institutes of Health [U01-MH083545, R01-MH108467, R01-CA126205, U01-CA086368]
This article addresses estimation in regression models for longitudinally collected functional covariates (time-varying predictor curves) with a longitudinal scalar outcome. The framework consists of estimating a time-varying coefficient function that is modelled as a linear combination of time-invariant functions with time-varying coefficients. The model uses extrinsic information to inform the structure of the penalty, while the estimation procedure exploits the equivalence between penalized least squares estimation and a linear mixed model representation. The process is empirically evaluated with several simulations and it is applied to analyze the neurocognitive impairment of human immunodeficiency virus (HIV) patients and its association with longitudinally-collected magnetic resonance spectroscopy (MRS) curves.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据