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Bias correction for the proportional odds logistic regression model with application to a study of surgical complications

dc.contributor.authorLipsitz, Stuart R.en_US
dc.contributor.authorFitzmaurice, Garrett M.en_US
dc.contributor.authorRegenbogen, Scott E.en_US
dc.contributor.authorSinha, Debajyotien_US
dc.contributor.authorIbrahim, Joseph G.en_US
dc.contributor.authorGawande, Atul A.en_US
dc.date.accessioned2013-03-05T18:17:43Z
dc.date.available2014-05-01T14:28:11Zen_US
dc.date.issued2013-03en_US
dc.identifier.citationLipsitz, Stuart R.; Fitzmaurice, Garrett M.; Regenbogen, Scott E.; Sinha, Debajyoti; Ibrahim, Joseph G.; Gawande, Atul A. (2013). "Bias correction for the proportional odds logistic regression model with application to a study of surgical complications." Journal of the Royal Statistical Society: Series C (Applied Statistics) 62(2). <http://hdl.handle.net/2027.42/96712>en_US
dc.identifier.issn0035-9254en_US
dc.identifier.issn1467-9876en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/96712
dc.publisherBlackwell Publishing Ltden_US
dc.publisherWiley Periodicals, Inc.en_US
dc.subject.otherMultinomial Likelihooden_US
dc.subject.otherPoisson Likelihooden_US
dc.subject.otherPenalized Likelihooden_US
dc.subject.otherMultinomial Logistic Regressionen_US
dc.subject.otherDiscrete Responseen_US
dc.titleBias correction for the proportional odds logistic regression model with application to a study of surgical complicationsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_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.contributor.affiliationotherBrigham and Women's Hospital, Boston, USAen_US
dc.contributor.affiliationotherBrigham and Women's Hospital, Boston, USAen_US
dc.contributor.affiliationotherHarvard Medical School, Boston, USAen_US
dc.contributor.affiliationotherFlorida State University, Tallahassee, USAen_US
dc.contributor.affiliationotherUniversity of North Carolina at Chapel Hill, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/96712/1/j.1467-9876.2012.01057.x.pdf
dc.identifier.doi10.1111/j.1467-9876.2012.01057.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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