Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14440
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHABTEAB GHEBRETINSAE, Aklilu-
dc.contributor.authorFAES, Christel-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorGEYS, Helena-
dc.contributor.authorVan der Leede, Bas-Jan-
dc.date.accessioned2012-12-10T08:49:21Z-
dc.date.available2012-12-10T08:49:21Z-
dc.date.issued2012-
dc.identifier.citationPHARMACEUTICAL STATISTICS, 11 (6), p. 449-455-
dc.identifier.issn1539-1604-
dc.identifier.urihttp://hdl.handle.net/1942/14440-
dc.description.abstractMultivariate longitudinal or clustered data are commonly encountered in clinical trials and toxicological studies. Typically, there is no single standard endpoint to assess the toxicity or efficacy of the compound of interest, but co-primary endpoints are available to assess the toxic effects or the working of the compound. Modeling the responses jointly is thus appealing to draw overall inferences using all responses and to capture the association among the responses. Non-Gaussian outcomes are often modeled univariately using exponential family models. To accommodate both the overdispersion and hierarchical structure in the data, Molenberghs et al. A family of generalized linear models for repeated measures with normal and conjugate random effects. Statistical Science 2010; 25:325347 proposed using two separate sets of random effects. This papers considers a model for multivariate data with hierarchically clustered and overdispersed non-Gaussian data. Gamma random effect for the over-dispersion and normal random effects for the clustering in the data are being used. The two outcomes are jointly analyzed by assuming that the normal random effects for both endpoints are correlated. The association structure between the response is analytically derived. The fit of the joint model to data from a so-called comet assay are compared with the univariate analysis of the two outcomes.-
dc.description.sponsorshipFinancial support from the IAP research network #P6/03 of the Belgian Government (Belgian Science Policy) and the Research Foundation Flanders is gratefully acknowledged.-
dc.language.isoen-
dc.publisherWILEY-BLACKWELL-
dc.rightsCopyright © 2012 John Wiley & Sons, Ltd.-
dc.subject.othercomet assay; gamma random effect; hierarchical model; joint model; normal random effect-
dc.subject.othercomet assay; gamma random effect; hierarchical model; joint model; normal random effect-
dc.titleJoint modeling of hierarchically clustered and overdispersed non-gaussian continuous outcomes for comet assay data-
dc.typeJournal Contribution-
dc.identifier.epage455-
dc.identifier.issue6-
dc.identifier.spage449-
dc.identifier.volume11-
local.format.pages7-
local.bibliographicCitation.jcatA1-
dc.description.notes[Ghebretinsae, Aklilu Habteab; Faes, Christel; Molenberghs, Geert; Geys, Helena] Univ Hasselt, I BioStat, B-3590 Diepenbeek, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, I BioStat, B-3000 Louvain, Belgium. [Geys, Helena; Van der Leede, Bas-Jan] Janssen Pharmaceut, B-2430 Beerse, Belgium.-
local.publisher.placeHOBOKEN-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1002/pst.1533-
dc.identifier.isi000310789600003-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.contributorHABTEAB GHEBRETINSAE, Aklilu-
item.contributorMOLENBERGHS, Geert-
item.contributorGEYS, Helena-
item.contributorVan der Leede, Bas-Jan-
item.contributorFAES, Christel-
item.fullcitationHABTEAB GHEBRETINSAE, Aklilu; FAES, Christel; MOLENBERGHS, Geert; GEYS, Helena & Van der Leede, Bas-Jan (2012) Joint modeling of hierarchically clustered and overdispersed non-gaussian continuous outcomes for comet assay data. In: PHARMACEUTICAL STATISTICS, 11 (6), p. 449-455.-
item.validationecoom 2013-
crisitem.journal.issn1539-1604-
crisitem.journal.eissn1539-1612-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
Joint07.pdfPeer-reviewed author version393.57 kBAdobe PDFView/Open
Ghebretinsae_et_al-2012-Pharmaceutical_Statistics.pdf
  Restricted Access
Published version206.51 kBAdobe PDFView/Open    Request a copy
Show simple item record

SCOPUSTM   
Citations

4
checked on Sep 2, 2020

WEB OF SCIENCETM
Citations

4
checked on Jun 29, 2022

Page view(s)

80
checked on Jul 3, 2022

Download(s)

222
checked on Jul 3, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.