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	ANOVA FOR LONGITUDINAL DATA WITH MISSING VALUES
	Chen, Song Xi ; Zhong, Ping-Shou
	2010
关键词	Analysis of variance empirical likelihood kernel smoothing missing at random semiparametric model treatment effects SEMIPARAMETRIC REGRESSION-ANALYSIS VARYING-COEFFICIENT MODEL EMPIRICAL LIKELIHOOD LINEAR-MODELS CONFIDENCE-REGIONS BOOTSTRAP TESTS CURVES
英文摘要	We carry out ANOVA comparisons of multiple treatments for longitudinal studies with missing values. The treatment effects are modeled semiparametrically via a partially linear regression which is flexible in quantifying the time effects of treatments. The empirical likelihood is employed to formulate model-robust nonparametric ANOVA tests for treatment effects with respect to covariates, the nonparametric time-effect functions and interactions between covariates and time. The proposed tests can be readily modified for a variety of data and model combinations, that encompasses parametric, semiparametric and nonparametric regression models; cross-sectional and longitudinal data, and with or without missing values.; Statistics & Probability; SCI(E); 4; ARTICLE; 6; 3630-3659; 38
语种	英语
出处	SCI
出版者	统计学纪事
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/321787]
专题	数学科学学院
推荐引用方式 GB/T 7714	Chen, Song Xi,Zhong, Ping-Shou. ANOVA FOR LONGITUDINAL DATA WITH MISSING VALUES. 2010-01-01.

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