Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9002
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dc.contributor.authorJACOBS, Tom-
dc.contributor.authorRossenu, Stefaan-
dc.contributor.authorDunne, Adrian-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorSTRAETEMANS, Roel-
dc.contributor.authorBIJNENS, Luc-
dc.date.accessioned2008-12-09T10:35:14Z-
dc.date.available2008-12-09T10:35:14Z-
dc.date.issued2008-
dc.identifier.citationJOURNAL OF BIOPHARMACEUTICAL STATISTICS, 18(6). p. 1197-1211-
dc.identifier.issn1054-3406-
dc.identifier.urihttp://hdl.handle.net/1942/9002-
dc.description.abstractA method is presented to describe the in vitro-in vivo correlation (IVIVC) of an extended release drug formulation. This extended release drug product is overencapsulated with immediate release material. The heterogeneity of the capsule is modelled using a combined model of an extended release and an immediate release pharmacokinetic profile. Whereas an IVIVC is conventionally performed using a two-stage procedure, the model uses a one-stage convolution-based method. The method is applied to a Galantamine controlled release formulation, an acetylcholinesterase inhibitor for the treatment of Alzheimer's disease. The average percentage prediction error indicated a good fit of the new model.-
dc.description.sponsorshipFinancial support from the IAP research network nr P5/24 of the Belgian government (Belgian Science Policy) is gratefully acknowledged-
dc.format.extent197219 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS INC-
dc.rightsCopyright © Taylor & Francis Group, LLC-
dc.subject.otherControlled release; Convolution; Dissolution curve; IVIVC; One-stage model fitting-
dc.subject.othercontrolled release; convolution; dissolution curve; IVIVC; one-stage model-
dc.titleCombined Models for Data from In Vitro-In Vivo Correlation Experiments-
dc.typeJournal Contribution-
dc.identifier.epage1211-
dc.identifier.issue6-
dc.identifier.spage1197-
dc.identifier.volume18-
local.format.pages15-
local.bibliographicCitation.jcatA1-
dc.description.notes[Jacobs, Tom; Molenberghs, Geert] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. [Jacobs, Tom; Molenberghs, Geert] Katholieke Univ Leuven, Louvain, Belgium. [Dunne, Adrian] Univ Coll Dublin, Sch Math Sci, Dublin 2, Ireland. [Rossenu, Stefaan; Straetemans, Roel; Bijnens, Luc] Johnson & Johnson Pharmaceut Res & Dev, Beerse, Belgium.-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1080/10543400802369061-
dc.identifier.isi000260764800011-
item.fulltextWith Fulltext-
item.contributorJACOBS, Tom-
item.contributorRossenu, Stefaan-
item.contributorDunne, Adrian-
item.contributorMOLENBERGHS, Geert-
item.contributorSTRAETEMANS, Roel-
item.contributorBIJNENS, Luc-
item.fullcitationJACOBS, Tom; Rossenu, Stefaan; Dunne, Adrian; MOLENBERGHS, Geert; STRAETEMANS, Roel & BIJNENS, Luc (2008) Combined Models for Data from In Vitro-In Vivo Correlation Experiments. In: JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 18(6). p. 1197-1211.-
item.accessRightsOpen Access-
item.validationecoom 2009-
crisitem.journal.issn1054-3406-
crisitem.journal.eissn1520-5711-
Appears in Collections:Research publications
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