期刊
BIOMETRICS
卷 58, 期 3, 页码 521-530出版社
WILEY
DOI: 10.1111/j.0006-341X.2002.00521.x
关键词
correlated data; cluster randomization; generalized estimating equations; intervention studies; Kronecker product; multiple levels of association; quasi-least squares
资金
- NICHD NIH HHS [HD13021] Funding Source: Medline
This article considers data with two levels of association. Our motivating example is an international intervention trial with repeated observations on subjects who reside within geographically defined clusters. To account for the potential correlation within clusters and within the repeated measurements that pertain to each subject; we apply a method based on generalized estimating equations for a correlation structure proposed by Lefkopoulou, Moore, and Ryan (1989, Journal of the American Statistical Association 84, 810-815).
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