Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/315
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dc.contributor.authorLESAFFRE, Emmanuel-
dc.contributor.authorMOLENBERGHS, Geert-
dc.date.accessioned2004-10-22T11:16:28Z-
dc.date.available2004-10-22T11:16:28Z-
dc.date.issued1991-
dc.identifier.citationStatistics in Medicine, 10(9). p. 1391-1403-
dc.identifier.issn0277-6715-
dc.identifier.urihttp://hdl.handle.net/1942/315-
dc.description.abstractThe multivariate probit model is designed to regress a vector of correlated quantal variables on a mixture of continuous and discrete predictors. Various applications can be found in the biological, economical and psychosociological literature, but the method is not yet widely used in medical applications. We reintroduce this model thereby showing its usefulness in medical problems. Software for this model is, however, not widely available. We have written a PC program to select predictors and estimate parameters in the multivariate probit framework. The performance and characteristics of the program are briefly illustrated-
dc.description.sponsorshipMolenberghs supported by an NFWO-Grant-
dc.language.isoen-
dc.rights(c) 1991 by John Wiley & Sons, Ltd.-
dc.subjectClustered data-
dc.subjectMultivariate data-
dc.subjectLongitudinal data-
dc.subjectCategorical data-
dc.titleMultivariate Probit Analysis: A Neglected Procedure in Medical Statistics-
dc.typeJournal Contribution-
dc.identifier.epage1403-
dc.identifier.issue9-
dc.identifier.spage1391-
dc.identifier.volume10-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcat-
dc.identifier.doi10.1002/sim.4780100907-
dc.identifier.isiA1991GC19600006-
item.fullcitationLESAFFRE, Emmanuel & MOLENBERGHS, Geert (1991) Multivariate Probit Analysis: A Neglected Procedure in Medical Statistics. In: Statistics in Medicine, 10(9). p. 1391-1403.-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
item.contributorLESAFFRE, Emmanuel-
item.contributorMOLENBERGHS, Geert-
crisitem.journal.issn0277-6715-
crisitem.journal.eissn1097-0258-
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