Source:http://linkedlifedata.com/resource/pubmed/id/11126689
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rdf:type | |
lifeskim:mentions |
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umls-concept:C2697811
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pubmed:issue |
5
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pubmed:dateCreated |
2000-12-13
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pubmed:abstractText |
Adaptive designs have often been proposed as a way of using accruing data to affect future allocation scheme in clinical trials. The goal is to assign more patients to the better treatment. To implement clinical trials efficiently, sample size must be estimated in advance. In adaptive design, it is difficult to calculate the required sample size, because the allocation probabilities keep changing during the course of the 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 |
Sep
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pubmed:issn |
0304-4602
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
29
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
565-9
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pubmed:dateRevised |
2007-11-15
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pubmed:meshHeading | |
pubmed:year |
2000
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pubmed:articleTitle |
Estimation of number of subjects required for comparison of drug versus control in adaptive designs.
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pubmed:affiliation |
Department of Statistics and Applied Probability, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260. stahuff@stat.nus.edu.sg
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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