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Article: A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis

TitleA Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis
Authors
KeywordsHierarchical model
Markov chain Monte Carlo
Over-dispersion
Regularization
Variable selection
Issue Date2013
PublisherThe International Biometric Society. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM
Citation
Biometrics, 2013, v. 69 n. 4, p. 1053-1063 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/199236
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXIA, Fen_US
dc.contributor.authorChen, Jen_US
dc.contributor.authorFung, TWKen_US
dc.contributor.authorLi, HZen_US
dc.date.accessioned2014-07-22T01:09:56Z-
dc.date.available2014-07-22T01:09:56Z-
dc.date.issued2013en_US
dc.identifier.citationBiometrics, 2013, v. 69 n. 4, p. 1053-1063en_US
dc.identifier.urihttp://hdl.handle.net/10722/199236-
dc.languageengen_US
dc.publisherThe International Biometric Society. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOMen_US
dc.relation.ispartofBiometricsen_US
dc.subjectHierarchical model-
dc.subjectMarkov chain Monte Carlo-
dc.subjectOver-dispersion-
dc.subjectRegularization-
dc.subjectVariable selection-
dc.titleA Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysisen_US
dc.typeArticleen_US
dc.identifier.emailFung, TWK: wingfung@hku.hken_US
dc.identifier.authorityFung, TWK=rp00696en_US
dc.identifier.doi10.1111/biom.12079en_US
dc.identifier.pmid24128059-
dc.identifier.scopuseid_2-s2.0-84890309776-
dc.identifier.hkuros231265en_US
dc.identifier.volume69en_US
dc.identifier.issue4en_US
dc.identifier.spage1053en_US
dc.identifier.epage1063en_US
dc.identifier.isiWOS:000328423000025-

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