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Multivariate log‐contrast regression with sub‐compositional predictors: Testing the association between preterm infants’ gut microbiome and neurobehavioral outcomes
dc.contributor.authorLiu, Xiaokang
dc.contributor.authorCong, Xiaomei
dc.contributor.authorLi, Gen
dc.contributor.authorMaas, Kendra
dc.contributor.authorChen, Kun
dc.date.accessioned2022-02-07T20:25:39Z
dc.date.available2023-03-07 15:25:37en
dc.date.available2022-02-07T20:25:39Z
dc.date.issued2022-02-10
dc.identifier.citationLiu, Xiaokang; Cong, Xiaomei; Li, Gen; Maas, Kendra; Chen, Kun (2022). "Multivariate log‐contrast regression with sub‐compositional predictors: Testing the association between preterm infants’ gut microbiome and neurobehavioral outcomes." Statistics in Medicine 41(3): 580-594.
dc.identifier.issn0277-6715
dc.identifier.issn1097-0258
dc.identifier.urihttps://hdl.handle.net/2027.42/171606
dc.publisherWiley Periodicals, Inc.
dc.publisherBlackburn Press
dc.subject.othernuclear norm penalization
dc.subject.othercompositional data
dc.subject.othergroup inference
dc.subject.otherintegrative multivariate analysis
dc.subject.othermulti‐view learning
dc.titleMultivariate log‐contrast regression with sub‐compositional predictors: Testing the association between preterm infants’ gut microbiome and neurobehavioral outcomes
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbsecondlevelStatistics and Numeric Data
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbtoplevelScience
dc.subject.hlbtoplevelSocial Sciences
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/171606/1/sim9273.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/171606/2/sim9273-sup-0001-supinfo.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/171606/3/sim9273_am.pdf
dc.identifier.doi10.1002/sim.9273
dc.identifier.sourceStatistics in Medicine
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dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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