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A Bayesian model for longitudinal count data with non-ignorable dropout
dc.contributor.authorKaciroti, Niko A.en_US
dc.contributor.authorRaghunathan, Trivellore E.en_US
dc.contributor.authorAnthony Schork, M.en_US
dc.contributor.authorClark, Noreen M.en_US
dc.date.accessioned2010-06-01T20:48:29Z
dc.date.available2010-06-01T20:48:29Z
dc.date.issued2008-12en_US
dc.identifier.citationKaciroti, Niko A.; Raghunathan, Trivellore E.; Anthony Schork, M.; Clark, Noreen M. (2008). "A Bayesian model for longitudinal count data with non-ignorable dropout." Journal of the Royal Statistical Society: Series C (Applied Statistics) 57(5): 521-534. <http://hdl.handle.net/2027.42/73907>en_US
dc.identifier.issn0035-9254en_US
dc.identifier.issn1467-9876en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/73907
dc.format.extent614795 bytes
dc.format.extent3109 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Ltden_US
dc.rights© 2008 The Royal Statistical Society and Blackwell Publishing Ltden_US
dc.subject.otherGibbs Samplingen_US
dc.subject.otherLongitudinal Dataen_US
dc.subject.otherNon-linear Mixed Effects Modelsen_US
dc.subject.otherPoisson Outcomesen_US
dc.subject.otherRandomized Trialsen_US
dc.subject.otherTransition Markov Modelsen_US
dc.titleA Bayesian model for longitudinal count data with non-ignorable dropouten_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, Ann Arbor, USAen_US
dc.identifier.pmid21072316en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/73907/1/j.1467-9876.2008.00628.x.pdf
dc.identifier.doi10.1111/j.1467-9876.2008.00628.xen_US
dc.identifier.sourceJournal of the Royal Statistical Society: Series C (Applied Statistics)en_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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