GENERAL-CLASS OF COVARIANCE-STRUCTURES FOR 2 OR MORE REPEATED FACTORS IN LONGITUDINAL DATA-ANALYSIS
GENERAL-CLASS OF COVARIANCE-STRUCTURES FOR 2 OR MORE REPEATED FACTORS IN LONGITUDINAL DATA-ANALYSIS
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DOI：
10.1080/03610929408831436
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发表时间：
1994-01-01
影响因子：
0.8
通讯作者：
GALECKI, AT
中科院分区：
文献类型：
--
作者：
GALECKI, AT
纵向数据参数分析的主要困难在于协方差结构的确定。 文献中已经提出了几种协方差结构，它们通常反映了随时间收集的一系列测量值。 然而，有一个以上的重复因子指定的重复测量设计的协方差结构的文献缺乏。 本文提出了一种新的，通用的方法建模的协方差结构的基础上的克罗内克产品的潜在因素特定的协方差配置文件。 该方法具有一个有吸引力的解释独立因素的具体贡献，整体受试者内的协方差结构，可以很容易地适应标准软件。
The main difficulty in parametric analysis of longitudinal data lies in specifying covariance structure. Several covariance structures, which usually reflect one series of measurements collected over time, have been presented in the literature. However there is a lack of literature on covariance structures designed for repeated measures specified by more than one repeated factor. In this paper a new, general method of modelling covariance structure based on the Kronecker product of underlying factor specific covariance profiles is presented. The method has an attractive interpretation in terms of independent factor specific contribution to overall within subject covariance structure and can be easily adapted to standard software.