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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
11
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pubmed:dateCreated |
1998-2-3
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pubmed:abstractText |
In crossover clinical trials comparing completely different treatments patients tend to fall apart into different populations: those who respond better to treatment 1 and those who do so to treatment 2. The correlation between treatment response in such trials is negative. The current ANCOVA analysis for crossover studies does not allow for correlations being negative, and is, therefore, not adequate to test this kind of trial.
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pubmed:commentsCorrections | |
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 |
Nov
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pubmed:issn |
0946-1965
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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 |
504-8
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pubmed:dateRevised |
2004-11-17
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pubmed:meshHeading |
pubmed-meshheading:9401831-Algorithms,
pubmed-meshheading:9401831-Analysis of Variance,
pubmed-meshheading:9401831-Cross-Over Studies,
pubmed-meshheading:9401831-Data Interpretation, Statistical,
pubmed-meshheading:9401831-Humans,
pubmed-meshheading:9401831-Models, Statistical,
pubmed-meshheading:9401831-Pharmacology
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pubmed:year |
1997
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pubmed:articleTitle |
An alternative analysis for crossover studies that accounts for between-group disparities in drug response.
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pubmed:affiliation |
Department of Medicine, Merwede Hospital, Dordrecht, Netherlands.
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pubmed:publicationType |
Journal Article
|