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Rejoinder to “Joint Regression Analysis for Discrete Longitudinal Data” by Madsen and Fang

dc.contributor.authorSong, Peter X.‐k.en_US
dc.contributor.authorLi, Mingyaoen_US
dc.contributor.authorYuan, Yingen_US
dc.date.accessioned2011-11-10T15:38:23Z
dc.date.available2012-11-02T18:56:48Zen_US
dc.date.issued2011-09en_US
dc.identifier.citationSong, Peter X.‐k. ; Li, Mingyao; Yuan, Ying (2011). "Rejoinder to â Joint Regression Analysis for Discrete Longitudinal Dataâ by Madsen and Fang." Biometrics 67(3). <http://hdl.handle.net/2027.42/87104>en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.issn1541-0420en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/87104
dc.publisherBlackwell Publishing Incen_US
dc.publisherWiley Periodicals, Inc.en_US
dc.titleRejoinder to “Joint Regression Analysis for Discrete Longitudinal Data” by Madsen and Fangen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics ,
 University of Michigan ,
 Ann Arbor, Michigan 48109‐2029, U.S.A. 
email: pxsong@umich.eduen_US
dc.contributor.affiliationotherDepartment of Biostatistics and Epidemiology ,
 University of Pennsylvania ,
 Philadelphia, Pennsylvania, 19104‐6021, U.S.A. 
email: mingyao@mail.med.upenn.eduen_US
dc.contributor.affiliationotherDepartment of Biostatistics ,
 The University of Texas MD Anderson Cancer Center ,
 Houston, Texas, 77030, U.S.A. 
email: yyuan@mdanderson.orgen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/87104/1/j.1541-0420.2010.01495.x.pdf
dc.identifier.doi10.1111/j.1541-0420.2010.01495.xen_US
dc.identifier.sourceBiometricsen_US
dc.identifier.citedreferenceDenuit, M. and Lambert, P. ( 2005 ). Constraints on concordance measures in bivariate discrete data. Journal of Multivariate Analysis 93, 40 – 57.en_US
dc.identifier.citedreferenceLiang, K.‐Y. and Zeger, S. L. ( 1986 ). Longitudinal data analysis using generalized linear models. Biometrika 73, 13 – 22.en_US
dc.identifier.citedreferenceMadsen, L. and Fang, Y. ( 2010 ). Joint regression analysis for discrete longitudinal data. Biometrics xx – xx.en_US
dc.identifier.citedreferencePitt, M., Chan, D., and Kohn, R. ( 2006 ). Efficient Bayesian inference for Gaussian copula regression models. Biometrika 93, 537 – 554.en_US
dc.identifier.citedreferenceRobert, C. P. and Casella, G. ( 1999 ). Monte Carlo Statistical Methods. New York: Springer.en_US
dc.identifier.citedreferenceSong, P. X.‐K., Li, M., and Yuan, Y. ( 2009 ). Joint regression analysis of correlated data using Gaussian copulas. Biometrics 65, 60 – 68.en_US
dc.identifier.citedreferenceVarin, C. ( 2008 ). On composite marginal likelihood. Advances in Statistical Analysis 92, 1 – 28.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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