Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/343
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dc.contributor.authorGEYS, Helena-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorRyan, Louise M.-
dc.date.accessioned2004-10-25T07:19:27Z-
dc.date.available2004-10-25T07:19:27Z-
dc.date.issued1999-
dc.identifier.citationJournal of the American Statistical Association, 94(447). p. 734-745-
dc.identifier.issn0162-1459-
dc.identifier.urihttp://hdl.handle.net/1942/343-
dc.description.abstractThe primary goal of this article is to determine benchmark doses based on the ethylene glycol study, which comprises data from a developmental toxicity study in mice. Because the data involve a vector of malformation indicators, a flexible model for multivariate clustered data is required. An exponential family model is considered and pseudolikelihood-based inferential tools are proposed, hence avoiding excessive computational requirements.-
dc.language.isoen-
dc.publisherAMER STATISTICAL ASSOC-
dc.subjectClustered data-
dc.subjectCategorical data-
dc.titlePseudolikelihood modelling of multivariate outcomes in developmental toxicology-
dc.typeJournal Contribution-
dc.identifier.epage745-
dc.identifier.issue447-
dc.identifier.spage734-
dc.identifier.volume94-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1080/01621459.1999.10474176-
dc.identifier.isi000082756400014-
item.fulltextWith Fulltext-
item.contributorGEYS, Helena-
item.contributorMOLENBERGHS, Geert-
item.contributorRyan, Louise M.-
item.fullcitationGEYS, Helena; MOLENBERGHS, Geert & Ryan, Louise M. (1999) Pseudolikelihood modelling of multivariate outcomes in developmental toxicology. In: Journal of the American Statistical Association, 94(447). p. 734-745.-
item.validationecoom 2000-
item.accessRightsRestricted Access-
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