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pubmed-article:17188941pubmed:dateCreated2007-5-21lld:pubmed
pubmed-article:17188941pubmed:abstractTextIn multicenter trials, data from the same center are more similar than those from different centers. These similarities induce a correlation between data, known as the center effect, which is assessed by the intraclass correlation coefficient (ICC). Here, we derive a sample size formula for continuous data that takes into account this center effect. Our analytical developments lead to an elementary formula different from the classical one by a (1-rho) factor, where rho is the ICC. This work allows for adjusting and reducing the sample size according to the magnitude of the center effect and leads to a better consistency in the conduct of multicenter randomized trials.lld:pubmed
pubmed-article:17188941pubmed:languageenglld:pubmed
pubmed-article:17188941pubmed:journalhttp://linkedlifedata.com/r...lld:pubmed
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pubmed-article:17188941pubmed:statusMEDLINElld:pubmed
pubmed-article:17188941pubmed:monthJullld:pubmed
pubmed-article:17188941pubmed:issn1551-7144lld:pubmed
pubmed-article:17188941pubmed:authorpubmed-author:GiraudeauBrun...lld:pubmed
pubmed-article:17188941pubmed:authorpubmed-author:VierronEmilie...lld:pubmed
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pubmed-article:17188941pubmed:volume28lld:pubmed
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pubmed-article:17188941pubmed:pagination451-8lld:pubmed
pubmed-article:17188941pubmed:dateRevised2007-11-15lld:pubmed
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pubmed-article:17188941pubmed:year2007lld:pubmed
pubmed-article:17188941pubmed:articleTitleSample size calculation for multicenter randomized trial: taking the center effect into account.lld:pubmed
pubmed-article:17188941pubmed:affiliationINSERM CIC 202, Université François Rabelais, Tours, CHRU de Tours, France. emilie.vierron@med.univ-tours.frlld:pubmed
pubmed-article:17188941pubmed:publicationTypeJournal Articlelld:pubmed
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