Source:http://linkedlifedata.com/resource/pubmed/id/16943232
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
5
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pubmed:dateCreated |
2006-10-20
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pubmed:abstractText |
Cluster randomized trials are increasingly popular. In many of these trials, cluster sizes are unequal. This can affect trial power, but standard sample size formulae for these trials ignore this. Previous studies addressing this issue have mostly focused on continuous outcomes or methods that are sometimes difficult to use in practice.
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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 |
Oct
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pubmed:issn |
0300-5771
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
35
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1292-300
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pubmed:dateRevised |
2007-11-15
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pubmed:meshHeading |
pubmed-meshheading:16943232-Cluster Analysis,
pubmed-meshheading:16943232-Family Practice,
pubmed-meshheading:16943232-Humans,
pubmed-meshheading:16943232-Primary Health Care,
pubmed-meshheading:16943232-Randomized Controlled Trials as Topic,
pubmed-meshheading:16943232-Research Design,
pubmed-meshheading:16943232-Sample Size
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pubmed:year |
2006
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pubmed:articleTitle |
Sample size for cluster randomized trials: effect of coefficient of variation of cluster size and analysis method.
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pubmed:affiliation |
Centre for Health Sciences, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK. s.eldridge@qmul.ac.uk
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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