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Joint modeling of cross‐sectional health outcomes and longitudinal predictors via mixtures of means and variances
dc.contributor.authorJiang, Beien_US
dc.contributor.authorElliott, Michael R.en_US
dc.contributor.authorSammel, Mary D.en_US
dc.contributor.authorWang, Naisyinen_US
dc.date.accessioned2015-07-01T20:56:31Z
dc.date.available2016-07-05T17:27:58Zen
dc.date.issued2015-06en_US
dc.identifier.citationJiang, Bei; Elliott, Michael R.; Sammel, Mary D.; Wang, Naisyin (2015). "Joint modeling of cross‐sectional health outcomes and longitudinal predictors via mixtures of means and variances." Biometrics 71(2): 487-497.en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.issn1541-0420en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/111969
dc.publisherSpringeren_US
dc.publisherWiley Periodicals, Inc.en_US
dc.subject.otherPredictive performanceen_US
dc.subject.otherShared random effects and variancesen_US
dc.subject.otherShort‐term variabilityen_US
dc.subject.otherModel misspecificationen_US
dc.subject.otherLong‐term trenden_US
dc.subject.otherLatent classen_US
dc.subject.otherJoint modelen_US
dc.titleJoint modeling of cross‐sectional health outcomes and longitudinal predictors via mixtures of means and variancesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/111969/1/biom12284.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/111969/2/biom12284-sup-0001-SuppData.pdf
dc.identifier.doi10.1111/biom.12284en_US
dc.identifier.sourceBiometricsen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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