Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9077
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dc.contributor.authorMARINGWA, John-
dc.contributor.authorGeys, Helena-
dc.contributor.authorSHKEDY, Ziv-
dc.contributor.authorFAES, Christel-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorAERTS, Marc-
dc.contributor.authorVan Ammel, Karel-
dc.contributor.authorTeisman, Ard-
dc.contributor.authorBIJNENS, Luc-
dc.date.accessioned2008-12-23T14:46:59Z-
dc.date.availableNO_RESTRICTION-
dc.date.issued2008-
dc.identifier.citationSTATISTICS IN MEDICINE, 27(28). p. 6009-6033-
dc.identifier.issn0277-6715-
dc.identifier.urihttp://hdl.handle.net/1942/9077-
dc.description.abstractThe use of semi-parametric mixed models has proven useful in a wide variety of settings. Here. we focus on the application of the methodology ill file particular Case Of a cross-over design with relatively long. sequences of repeated measurements Within each treatment period and for each subject. Other than an overall measure of the difference between each One of file experimental groups and the control group. specific time point comparisons may also be of interest. TO that effect. We propose file use of flexible semi-parametric mixed models, enabling file construction of simulation-based simultaneous confidence bands. The bands take into account both between- and within-subject variabilities, while simultaneously correcting for Multiple time point comparisons. Owing to the relatively long sequences of Measurements per Subject, the presence of serially correlated errors is anticipated and investigated. WC illustrate how several formulations of semi-parametric mixed models call be fitted and the construction of simulation-based simultaneous confidence bands using SAS PROC MIXED. Copyright (C) 2008 John Wiley & Sons, Ltd.-
dc.description.sponsorshipWe gratefully acknowledge the financial support from the IAP research network no. P5/24 of the Belgian Government (Belgian Science Policy) and from th-
dc.language.isoen-
dc.publisherJOHN WILEY & SONS LTD-
dc.rightsCopyright q 2008 John Wiley & Sons, Ltd.-
dc.subject.othercross-over; penalized splines; semi-parametric mixed models; simultaneous confidence bands; serial correlation-
dc.subject.othercross-over; penalized splines; semi-parametric mixed models; simultaneous confidence bands; serial correlation-
dc.titleAnalysis of cross-over designs with serial correlation within periods using semi-parametric mixed models-
dc.typeJournal Contribution-
dc.identifier.epage6033-
dc.identifier.issue28-
dc.identifier.spage6009-
dc.identifier.volume27-
local.format.pages25-
local.bibliographicCitation.jcatA1-
dc.description.notes[Maringwa, John T.; Shkedy, Ziv; Faes, Christel; Molenberghs, Geert; Aerts, Marc] Hasselt Univ, Ctr Stat, BE-3590 Diepenbeek, Belgium. [Geys, Helena; Van Ammel, Karel; Teisman, Ard; Bijnens, Luc] Johnson & Johnson Pharmaceut Res & Dev, Beerse, Belgium.-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1002/sim.3363-
dc.identifier.isi000261143200014-
item.validationecoom 2009-
item.contributorMARINGWA, John-
item.contributorGeys, Helena-
item.contributorSHKEDY, Ziv-
item.contributorFAES, Christel-
item.contributorMOLENBERGHS, Geert-
item.contributorAERTS, Marc-
item.contributorVan Ammel, Karel-
item.contributorTeisman, Ard-
item.contributorBIJNENS, Luc-
item.accessRightsOpen Access-
item.fullcitationMARINGWA, John; Geys, Helena; SHKEDY, Ziv; FAES, Christel; MOLENBERGHS, Geert; AERTS, Marc; Van Ammel, Karel; Teisman, Ard & BIJNENS, Luc (2008) Analysis of cross-over designs with serial correlation within periods using semi-parametric mixed models. In: STATISTICS IN MEDICINE, 27(28). p. 6009-6033.-
item.fulltextWith Fulltext-
crisitem.journal.issn0277-6715-
crisitem.journal.eissn1097-0258-
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