Journal
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Volume 56, Issue 5, Pages 1174-1187Publisher
ELSEVIER
DOI: 10.1016/j.csda.2010.12.010
Keywords
Sample size estimation; Cluster randomized trials; Intracluster correlation coefficient; Meta-analysis; Design of experiments; Sequential methods
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The evidence-based perspective to sample size estimation determines appropriate trial size by examining its potential impact on the literature. This approach is extended to determine the appropriate size of a planned cluster randomized trial by considering the role of the planned trial on a future meta-analysis (including current literature and the proposed study). A simulation-based algorithm allows consideration of variable cluster sizes and intracluster correlation coefficient values in conjunction with three approaches to sample size estimation, namely the power-based, variance reduction and non-inferiority perspectives. Two examples employing the sample size estimation techniques described are discussed in detail, while appropriate code is provided in the accompanying R package CRTSize. (C) 2010 Elsevier B.V. All rights reserved.
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