Journal
STATISTICS IN MEDICINE
Volume 21, Issue 12, Pages 1787-1801Publisher
WILEY
DOI: 10.1002/sim.1154
Keywords
longitudinal data; correlation structure; generalized estimating equation; within- and between-subject correlation
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It is common in epidemiological and clinical studies that each subject has repeated measurements on a single common variable, while the subjects are also 'clustered'. To compute sample size or power of a test, we have to consider two types of correlation: correlation among repeated measurements within the same subject, and correlation among subjects in the same cluster. We develop, based on generalized estimating equations, procedures for computing sample size and power with clustered repeated measurements. Explicit formulae are derived for comparing two means, two slopes and two proportions, under several simple correlation structures. Copyright (C) 2002 John Wiley Sons, Ltd.
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