Source:http://linkedlifedata.com/resource/pubmed/id/10611618
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
24
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| pubmed:dateCreated |
2000-3-2
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| pubmed:abstractText |
We consider multivariate tests for comparing two treatments with multiple endpoints. The test decision is drawn from the simultaneous consideration of the univariate tests for the single endpoints. A general class of these tests, called cut-off tests, can be given, which, however, can lead to highly conservative procedures because the dependencies among the endpoints are not taken into account. In applying resampling-based methods considerable improvements for these tests can be achieved. Resampling-based cut-off tests are proposed which are sensitive against a treatment difference in a single endpoint, in a subgroup of endpoints, or in all endpoints. The results of Monte Carlo simulations demonstrate that a remarkable gain in statistical power as compared to the crude simultaneous consideration can be reached. In particular, for the multivariate one-sided test situation the proposed tests can be recommended. As an example the application of the tests is demonstrated by data from a clinical trial.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
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| pubmed:month |
Dec
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| pubmed:issn |
0277-6715
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| pubmed:author | |
| pubmed:copyrightInfo |
Copyright 1999 John Wiley & Sons, Ltd.
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| pubmed:issnType |
Print
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| pubmed:day |
30
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| pubmed:volume |
18
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| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
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| pubmed:pagination |
3453-62
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| pubmed:dateRevised |
2007-11-15
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| pubmed:meshHeading | |
| pubmed:year |
1999
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| pubmed:articleTitle |
Resampling-based methods for the analysis of multiple endpoints in clinical trials.
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| pubmed:affiliation |
GSF National Research Center for Environment and Health, Medis-Institut, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany. reitmier@gsf.de
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| pubmed:publicationType |
Journal Article
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