Selection Strategy for Covariance Structure of Random Effects in Linear Mixed-Effects Models

来源 :The Third IMS-China International Conference on Statistics a | 被引量 : 0次 | 上传用户：eric900300

【摘要】

：

　　Linear mixed-effects models are a powerful tool for modeling longitudinal data and are widely used in practice.For a given set of covariates in a linear mix

【作者】

：

Guohua Zou

【机构】

：

AcademyofMathematicsandSystemsScience,ChineseAcademyofSciences

【出处】

：

The Third IMS-China International Conference on Statistics a

【发表日期】

：

2011年7期

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　　Linear mixed-effects models are a powerful tool for modeling longitudinal data and are widely used in practice.For a given set of covariates in a linear mixed-effects model, selecting the covariance structure of random effects is an important problem.In this paper, we develop a joint likelihood-based selection criterion.Our criterion is the approximately unbiased estimator of the expected Kullback-Leibler information.

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Selection Strategy for Covariance Structure of Random Effects in Linear Mixed-Effects Models

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