Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/6388
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dc.contributor.authorLINDSEY, James-
dc.contributor.authorJones, Bradley-
dc.contributor.authorLewis, J.A.-
dc.date.accessioned2007-12-20T16:07:32Z-
dc.date.available2007-12-20T16:07:32Z-
dc.date.issued1996-
dc.identifier.citationStatistics in medicine, 15(5). p. 527-535-
dc.identifier.urihttp://hdl.handle.net/1942/6388-
dc.description.abstractSurvival models and cross-over designs both have an established place in biomedical research. Surprisingly, there are few examples of proper exploitation of the two in combination. A number of advantages and disadvantages of such studies are discussed. Two examples are used to illustrate the application of semi-Markov models with time-varying covariates, as standard log-linear models, to such data.-
dc.language.isoen-
dc.publisherJohn Wiley & Sons, Ltd.-
dc.titleAnalysis of cross-over trials for duration data-
dc.typeJournal Contribution-
dc.identifier.epage535-
dc.identifier.issue5-
dc.identifier.spage527-
dc.identifier.volume15-
dc.bibliographicCitation.oldjcat-
dc.identifier.doi10.1002/(SICI)1097-0258(19960315)15:5<527::AID-SIM179>3.0.CO;2-K-
item.contributorLINDSEY, James-
item.contributorJones, Bradley-
item.contributorLewis, J.A.-
item.fullcitationLINDSEY, James; Jones, Bradley & Lewis, J.A. (1996) Analysis of cross-over trials for duration data. In: Statistics in medicine, 15(5). p. 527-535.-
item.accessRightsClosed Access-
item.fulltextNo Fulltext-
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