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Y. Li, “Efficient Semiparametric Regression for Longitudinal Data with Nonparametric Covariance Estimation,” Biometrika, Vol. 98, No. 2, 2011, pp. 355-370.
http://dx.doi.org/10.1093/biomet/asq080

has been cited by the following article:

• TITLE: Inference Based on Empirical Likelihood for Varying Coefficient Model with Random Effect

  AUTHORS: Wanbin Li, Liugen Xue

  KEYWORDS: Varying Coefficient Model; Random Effect; Empirical Likelihood; Longitudinal Data

  JOURNAL NAME: Open Journal of Statistics, Vol.3 No.6A, December 27, 2013

  ABSTRACT: In this article, we develop a statistical inference technique for the unknown coefficient functions in the varying coeffi- cient model with random effect. A residual-adjusted block empirical likelihood (RABEL) method is suggested to inves- tigate the model by taking the within-subject correlation into account. Due to the residual adjustment, the proposed RABEL is asymptotically chi-squared distribution. We illustrate the large sample performance of the proposed method via Monte Carlo simulations and a real data application.