Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data

Semiparametric generalized varying coefficient partially linear models with longitudinal data arise in contemporary biology, medicine, and life science. In this paper, we consider a variable selection procedure based on the combination of the basis function approximations and quadratic inference fun...

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Vydáno v:Comput Math Methods Med
Hlavní autoři: Zhang, Jinghua, Xue, Liugen
Médium: Artigo
Jazyk:Inglês
Vydáno: Hindawi 2020
Témata:
Research Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7556090/
https://ncbi.nlm.nih.gov/pubmed/33082838
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/3505306
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