Journal
STATA JOURNAL
Volume 14, Issue 1, Pages 159-175Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/1536867X1401400111
Keywords
st0329; clsampsi; sample size; power calculation; intervention studies
Funding
- UK Medical Research Council Methodology Research Grant [G0800606]
- MRC [G0800606] Funding Source: UKRI
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This article considers the estimation of power and sample size in experimental and quasi-experimental intervention studies, where there is clustering of subjects within one or both intervention arms, for both continuous and binary outcomes. A new command, clsampsi, which has a wide range of options, calculates the power and sample size needed (that is, the number of clusters and cluster size) by using the noncentral F distribution as described by Moser, Stevens, and Watts (1989, Communications in Statistics-Theory and Methods 18: 3963-3975). For comparative purposes, this command can also produce power and sample-size estimates on the basis of existing methods that use a normal approximation.
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