Rejoinder to “Joint Regression Analysis for Discrete Longitudinal Data” by Madsen and Fang
dc.contributor.author | Song, Peter X.‐k. | en_US |
dc.contributor.author | Li, Mingyao | en_US |
dc.contributor.author | Yuan, Ying | en_US |
dc.date.accessioned | 2011-11-10T15:38:23Z | |
dc.date.available | 2012-11-02T18:56:48Z | en_US |
dc.date.issued | 2011-09 | en_US |
dc.identifier.citation | Song, 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.issn | 0006-341X | en_US |
dc.identifier.issn | 1541-0420 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/87104 | |
dc.publisher | Blackwell Publishing Inc | en_US |
dc.publisher | Wiley Periodicals, Inc. | en_US |
dc.title | Rejoinder to “Joint Regression Analysis for Discrete Longitudinal Data” by Madsen and Fang | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics , University of Michigan , Ann Arbor, Michigan 48109‐2029, U.S.A. email: pxsong@umich.edu | en_US |
dc.contributor.affiliationother | Department of Biostatistics and Epidemiology , University of Pennsylvania , Philadelphia, Pennsylvania, 19104‐6021, U.S.A. email: mingyao@mail.med.upenn.edu | en_US |
dc.contributor.affiliationother | Department of Biostatistics , The University of Texas MD Anderson Cancer Center , Houston, Texas, 77030, U.S.A. email: yyuan@mdanderson.org | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/87104/1/j.1541-0420.2010.01495.x.pdf | |
dc.identifier.doi | 10.1111/j.1541-0420.2010.01495.x | en_US |
dc.identifier.source | Biometrics | en_US |
dc.identifier.citedreference | Denuit, M. and Lambert, P. ( 2005 ). Constraints on concordance measures in bivariate discrete data. Journal of Multivariate Analysis 93, 40 – 57. | en_US |
dc.identifier.citedreference | Liang, K.‐Y. and Zeger, S. L. ( 1986 ). Longitudinal data analysis using generalized linear models. Biometrika 73, 13 – 22. | en_US |
dc.identifier.citedreference | Madsen, L. and Fang, Y. ( 2010 ). Joint regression analysis for discrete longitudinal data. Biometrics xx – xx. | en_US |
dc.identifier.citedreference | Pitt, M., Chan, D., and Kohn, R. ( 2006 ). Efficient Bayesian inference for Gaussian copula regression models. Biometrika 93, 537 – 554. | en_US |
dc.identifier.citedreference | Robert, C. P. and Casella, G. ( 1999 ). Monte Carlo Statistical Methods. New York: Springer. | en_US |
dc.identifier.citedreference | Song, 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.citedreference | Varin, C. ( 2008 ). On composite marginal likelihood. Advances in Statistical Analysis 92, 1 – 28. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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