Empirical likelihood-based inference in a partially linear model for longitudinal data

2008 ◽  
Vol 51 (1) ◽  
pp. 115-130 ◽  
Author(s):  
LiuGen Xue ◽  
Zhu LiXing
Keyword(s):  
Longitudinal Data ◽  
Linear Model ◽  
Empirical Likelihood ◽  
Partially Linear Model ◽  
Partially Linear

Empirical Likelihood Inference for a Partially Linear Model under Longitudinal Data

2013 ◽  
Vol 353-356 ◽  
pp. 3355-3358
Author(s):  
Yu Ying Jiang
Keyword(s):  
Longitudinal Data ◽  
Linear Model ◽  
Empirical Likelihood ◽  
Confidence Regions ◽  
Repeated Measurements ◽  
Correlation Structure ◽  
Regression Coefficients ◽  
Partially Linear Model ◽  
Chi Square ◽  
Partially Linear

In this paper, a partially linear model under longitudinal data is considered. In order to take into consideration the within-subject correlation structure of the repeated measurements, an empirical likelihood incorporating the correlation structure is developed. The asymptotic normality of the maximum empirical likelihood estimates of the regression coefficients is obtained. It also can be shown that the proposed empirical likelihood ratio is asymptotically standard chi-square. The results can be used directly to construct the asymptotic confidence regions of the regression coefficients. The convergence rate of the baseline function is derived.

scholarly journals Joint partially linear model for longitudinal data with informative drop-outs

Biometrics ◽  
2016 ◽  
Vol 73 (1) ◽  
pp. 72-82 ◽  
Author(s):  
Sehee Kim ◽  
Donglin Zeng ◽  
Jeremy M. G. Taylor
Keyword(s):  
Longitudinal Data ◽  
Linear Model ◽  
Partially Linear Model ◽  
Partially Linear ◽  
Drop Outs
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