| Cross-over trials with censored data. | |
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MedLine Citation:
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PMID: 8783435 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Cross-over trials assign two or more treatments sequentially to the same subject; groups of subjects receive different treatment sequences. Both parametric and non-parametric methods of inference are available for cross-over trials with complete data. In this paper we develop methods for estimation and testing in cross-over trials with censored data, based partly on methods used for complete data. Our estimator is consistent for the true effects. Simulation results show that both of our proposed tests have approximately nominal size. We compare our procedures to a method for cross-over designs based on Cox regression proposed by France, Lewis and Kay. We demonstrate that our method of estimation is superior to the Cox-based method, which has considerable bias. Both of the tests presented here have more power than the Cox-based tests in all of the situations we investigated. The estimation and test procedures apply to other designs, such as parallel trials and repeated measures designs. |
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Authors:
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M Feingold; B W Gillespie |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Statistics in medicine Volume: 15 ISSN: 0277-6715 ISO Abbreviation: Stat Med Publication Date: 1996 May |
Date Detail:
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Created Date: 1996-12-05 Completed Date: 1996-12-05 Revised Date: 2004-11-17 |
Medline Journal Info:
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Nlm Unique ID: 8215016 Medline TA: Stat Med Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 953-67 Citation Subset: IM |
Affiliation:
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Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor 48109-2029, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Bias (Epidemiology) Biometry Cross-Over Studies* Data Collection Data Interpretation, Statistical* Humans Linear Models Models, Statistical Regression Analysis Statistics, Nonparametric |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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