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Predicting treatment efficacy via quantitative magnetic resonance imaging: a Bayesian joint model

dc.contributor.authorWu, Jincaoen_US
dc.contributor.authorJohnson, Timothy D.en_US
dc.contributor.authorGalbán, Craig J.en_US
dc.contributor.authorChenevert, Thomas L.en_US
dc.contributor.authorMeyer, Charles R.en_US
dc.contributor.authorRehemtulla, Alnawazen_US
dc.contributor.authorHamstra, Daniel A.en_US
dc.contributor.authorRoss, Brian D.en_US
dc.date.accessioned2012-03-16T16:00:13Z
dc.date.available2013-03-04T15:29:55Zen_US
dc.date.issued2012-01en_US
dc.identifier.citationWu, Jincao; Johnson, Timothy D.; Galbán, Craig J. ; Chenevert, Thomas L.; Meyer, Charles R.; Rehemtulla, Alnawaz; Hamstra, Daniel A.; Ross, Brian D. (2012). "Predicting treatment efficacy via quantitative magnetic resonance imaging: a Bayesian joint model." Journal of the Royal Statistical Society: Series C (Applied Statistics) 61(1). <http://hdl.handle.net/2027.42/90333>en_US
dc.identifier.issn0035-9254en_US
dc.identifier.issn1467-9876en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/90333
dc.publisherWiley Periodicals, Inc.en_US
dc.publisherBlackwell Publishing Ltden_US
dc.subject.otherSpatiotemporal Modelen_US
dc.subject.otherBayesian Analysisen_US
dc.subject.otherImage Analysisen_US
dc.subject.otherMultivariate Adaptive Regression Splinesen_US
dc.subject.otherMultivariate Pairwise Difference Prioren_US
dc.subject.otherQuantitative Magnetic Resonance Imagingen_US
dc.titlePredicting treatment efficacy via quantitative magnetic resonance imaging: a Bayesian joint modelen_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.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/90333/1/RSSC_1015_sm_SupportingInformation.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/90333/2/j.1467-9876.2011.01015.x.pdf
dc.identifier.doi10.1111/j.1467-9876.2011.01015.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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