CHINESE JOURNAL OF APPLIED PROBABILITY AND STATIST 2009, 25(1) 12-26 DOI:      ISSN: 1001-4268 CN: 31-1256

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Keywords
Longitudinal data
uniform correlation model
heteroscedasticity
correlation coefficient
score test.
Authors
Fan Junhua
Lin Jinguan
Wei Bocheng
PubMed
Article by
Article by
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Testing for Homogeneity of Variance and Correlation Coefficients in Uniform Correlation Models Based on Longitudinal Data

Fan Junhua, Lin Jinguan, Wei Bocheng

Department of Mathematics, Southeast University; School of Chengxian, Southeast University

Abstract��

In longitudinal data analysis, homogeneity of variance is a basic assumption. However, this assumption is not necessarily appropriate. Lin and Wei[1] considered the tests for homogeneity of within-individual variances and between-individual autocorrelation coefficients in nonlinear models with AR(1) errors based on longitudinal data. This paper discusses the tests for homogeneity of variances and correlation coefficients in longitudinal data model with uniform correlation covariance structure and obtains several score test statistics. The glucose data is used to illustrate our results. Power simulations of the proposed tests are given in this paper.

Keywords�� Longitudinal data   uniform correlation model   heteroscedasticity   correlation coefficient   score test.  
Received 1900-01-01 Revised 1900-01-01 Online:  
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Corresponding Authors: Fan Junhua
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