COMPARISON BETWEEN TREATMENTS IN A REPEATED-MEASUREMENT DESIGN - ANOVA AND MULTIVARIATE METHODS
COMPARISON BETWEEN TREATMENTS IN A REPEATED-MEASUREMENT DESIGN - ANOVA AND MULTIVARIATE METHODS
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DOI：
10.1111/j.2044-8317.1970.tb00440.x
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发表时间：
1970-01-01
影响因子：
2.6
通讯作者：
LEPINE, D
中科院分区：
文献类型：
--
作者：
ROUANET, H;LEPINE, D
本文研究了在一般多正态模型框架内，在重复测量设计中检验治疗之间比较的几种方法。各种比率被认为是，和最弱的假设所需的有效性eachFratio。当几个F比率有效时，引入功率考虑以供选择。方法，使有效性假设的测试，连同替代多变量统计，可用于当noFratio是有效的。文中给出的所有方法均通过数值算例加以说明。
This paper investigates several methods available for testing comparisons between treatments in a repeated‐measurement design, within the framework of the general multinormal model. Various ratios are considered, and the weakest assumptions required for the validity of eachFratio are presented. When severalFratios are valid, power considerations are introduced for purposes of choice. Methods enabling the testing of validity assumptions are also presented, together with alternative multivariate statistics which can be used when noFratio is valid. All procedures presented in the paper are illustrated by a numerical example.