Source:http://linkedlifedata.com/resource/pubmed/id/17188941
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
4
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pubmed:dateCreated |
2007-5-21
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pubmed:abstractText |
In 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.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Jul
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pubmed:issn |
1551-7144
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
28
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
451-8
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pubmed:dateRevised |
2007-11-15
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pubmed:meshHeading |
pubmed-meshheading:17188941-Humans,
pubmed-meshheading:17188941-Models, Statistical,
pubmed-meshheading:17188941-Multicenter Studies as Topic,
pubmed-meshheading:17188941-Patient Selection,
pubmed-meshheading:17188941-Poisson Distribution,
pubmed-meshheading:17188941-Randomized Controlled Trials as Topic,
pubmed-meshheading:17188941-Regression Analysis,
pubmed-meshheading:17188941-Sample Size
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pubmed:year |
2007
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pubmed:articleTitle |
Sample size calculation for multicenter randomized trial: taking the center effect into account.
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pubmed:affiliation |
INSERM CIC 202, Université François Rabelais, Tours, CHRU de Tours, France. emilie.vierron@med.univ-tours.fr
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pubmed:publicationType |
Journal Article
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