文章基本信息

标题：FUNCTIONAL VARYING COEFFICIENT MODEL WITH TIME - INDEPENDENT COVARIATE AND LONGITUDINAL RESPONSE
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作者：Behdad Mostafaiy ; Mohammad Reza Faridrohani
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2015
卷号：13
期号：3
页码：443-456
出版社：Tingmao Publish Company
摘要：In this paper, we consider functional varying coefficient model in present of a time invariant covariate for sparse longitudinal data contaminated with some measurement errors. We propose a regularization method to estimate the slope function based on a reproducing kernel Hilbert space approach. As we will see, our procedure is easy to implement. Our simulation results show that the procedure performs well, especially when either sampling frequency or sample size increases. Applications of our method are illustrated in an analysis of a longitudinal CD4+ count dataset from an HIV study.
关键词：CD4+ count; functional varying coefficient model; longitudinal data analysis; reproducing kernel Hilbert space; sparsity