Inference for longitudinal data from complex sampling surveys: An approach based on quadratic inference functions

2020 ◽  
Author(s):  
Laura Dumitrescu ◽  
Wei Qian ◽  
J. N. K. Rao
Keyword(s):  
Longitudinal Data ◽  
Complex Sampling ◽  
Quadratic Inference Functions

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

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jinghua Zhang ◽  
Liugen Xue
Keyword(s):  
Variable Selection ◽  
Longitudinal Data ◽  
Linear Models ◽  
Selection Procedure ◽  
Real Data ◽  
Finite Sample ◽  
Varying Coefficient ◽  
Partially Linear ◽  
Quadratic Inference Function ◽  
Quadratic Inference Functions

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 functions with SCAD penalty. The proposed procedure simultaneously selects significant variables in the parametric components and the nonparametric components. With appropriate selection of the tuning parameters, we establish the consistency, sparsity, and asymptotic normality of the resulting estimators. The finite sample performance of the proposed methods is evaluated through extensive simulation studies and a real data analysis.

scholarly journals Quadratic inference functions in marginal models for longitudinal data

2009 ◽  
Vol 28 (29) ◽  
pp. 3683-3696 ◽  
Author(s):  
Peter X.-K. Song ◽  
Zhichang Jiang ◽  
Eunjoo Park ◽  
Annie Qu
Keyword(s):  
Longitudinal Data ◽  
Marginal Models ◽  
Quadratic Inference Functions
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