Rank repeated measures analysis of covariance

被引：20

作者：

Fan, Chunpeng ^{[1
]}

Zhang, Donghui ^{[1
]}

机构：

[1] Sanofi US Inc, Dept Biostat & Programming, 55 Corp Dr, Bridgewater, NJ 08807 USA

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2017年 / 46卷 / 03期

关键词：

ANCOVA; ANOVA-type test; GEE; generalized estimating equations; longitudinal data; Wald-type test; 62G08; FACTORIAL-DESIGNS; NONPARAMETRIC ANALYSIS; LINEAR-MODELS; MIXED MODELS; TESTS; TRANSFORMATION; SCORES;

D O I：

10.1080/03610926.2015.1014106

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

When analyzing a response variable at the presence of both factors and covariates, with potentially correlated responses and violated assumptions of the normal residual or the linear relationship between the response and the covariates, rank-based tests can be an option for inferential procedures instead of the parametric repeated measures analysis of covariance (ANCOVA) models. This article derives a rank-based method for multi-way ANCOVA models with correlated responses. The generalized estimating equations (GEE) technique is employed to construct the proposed rank tests. Asymptotic properties of the proposed tests are derived. Simulation studies confirmed the performance of the proposed tests.

引用

页码：1158 / 1183

页数：26

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