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A Dirichlet process mixture model for survival outcome data: assessing nationwide kidney transplant centers
dc.contributor.authorZhao, Lilien_US
dc.contributor.authorShi, Jingchunzien_US
dc.contributor.authorShearon, Tempie H.en_US
dc.contributor.authorLi, Yien_US
dc.date.accessioned2015-04-02T15:12:18Z
dc.date.available2016-05-10T20:26:28Zen
dc.date.issued2015-04-15en_US
dc.identifier.citationZhao, Lili; Shi, Jingchunzi; Shearon, Tempie H.; Li, Yi (2015). "A Dirichlet process mixture model for survival outcome data: assessing nationwide kidney transplant centers." Statistics in Medicine 34(8): 1404-1416.en_US
dc.identifier.issn0277-6715en_US
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/110837
dc.publisherWiley Periodicals, Inc.en_US
dc.publisherSpringeren_US
dc.subject.otherstick‐breaking processen_US
dc.subject.otherDirichlet process mixtureen_US
dc.subject.othermixture modelen_US
dc.subject.otherclusteringen_US
dc.subject.othersurvival dataen_US
dc.subject.othertransplanten_US
dc.titleA Dirichlet process mixture model for survival outcome data: assessing nationwide kidney transplant centersen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/110837/1/sim6438.pdf
dc.identifier.doi10.1002/sim.6438en_US
dc.identifier.sourceStatistics in Medicineen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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