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Sample size and power determination for clustered repeated measurements
Author(s) -
Liu Aiyi,
Shih W. J.,
Gehan E.
Publication year - 2002
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.1154
Subject(s) - sample size determination , correlation , statistics , mathematics , sample (material) , repeated measures design , cluster (spacecraft) , power (physics) , generalized estimating equation , computer science , physics , geometry , quantum mechanics , thermodynamics , programming language
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 © 2002 John Wiley & Sons, Ltd. abstract