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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Sparad:
Bibliografiska uppgifter
I publikationen:Comput Math Methods Med
Huvudupphovsmän: Zhang, Jinghua, Xue, Liugen
Materialtyp: Artigo
Språk:Inglês
Publicerad: Hindawi 2020
Ämnen:
Research Article
Länkar: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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