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Use of Quasi–Least Squares to Adjust for Two Levels of Correlation
Author(s) -
Shults Justine,
Morrow Ardythe L.
Publication year - 2002
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2002.00521.x
Subject(s) - correlation , statistics , repeated measures design , generalized estimating equation , association (psychology) , mathematics , subject (documents) , econometrics , computer science , psychology , library science , geometry , psychotherapist
Summary. 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 denned 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).