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Analysis of accelerated failure time data with dependent censoring using auxiliary variables via nonparametric multiple imputation
dc.contributor.authorHsu, Chiu‐hsiehen_US
dc.contributor.authorTaylor, Jeremy M. G.en_US
dc.contributor.authorHu, Chengchengen_US
dc.date.accessioned2015-08-05T16:47:18Z
dc.date.available2016-09-06T15:43:59Zen
dc.date.issued2015-08-30en_US
dc.identifier.citationHsu, Chiu‐hsieh ; Taylor, Jeremy M. G.; Hu, Chengcheng (2015). "Analysis of accelerated failure time data with dependent censoring using auxiliary variables via nonparametric multiple imputation." Statistics in Medicine 34(19): 2768-2780.en_US
dc.identifier.issn0277-6715en_US
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/112243
dc.publisherWileyen_US
dc.subject.otherauxiliary variablesen_US
dc.subject.otheraccelerated failure timeen_US
dc.subject.otherBuckley–James estimatoren_US
dc.subject.otherCox proportional hazards modelen_US
dc.subject.othermultiple imputationen_US
dc.subject.othernearest neighboren_US
dc.titleAnalysis of accelerated failure time data with dependent censoring using auxiliary variables via nonparametric multiple imputationen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/112243/1/sim6534.pdf
dc.identifier.doi10.1002/sim.6534en_US
dc.identifier.sourceStatistics in Medicineen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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