Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19458
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dc.contributor.authorLiu, X-
dc.contributor.authorSiverani, S-
dc.contributor.authorYu, K-
dc.contributor.authorSmith, KJ-
dc.date.accessioned2019-10-29T16:16:31Z-
dc.date.available2019-10-29T16:16:31Z-
dc.date.issued2019-
dc.identifier.citationBiometrical Journalen_US
dc.identifier.issn1521-4036-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/19458-
dc.description.sponsorshipNational Institute for Health Research Method Grant (NIHRRMOFS-2013-03-09) and the National Natural Science Foundation of China (Grant No. 71490725, 11261048, 11371322).en_US
dc.language.isoenen_US
dc.publisherWiley-VCH Verlagen_US
dc.subjectAsymmetric Laplace distributionen_US
dc.subjectBayesian inferenceen_US
dc.subjectclusteringen_US
dc.subjectDirichlet process mixture modelen_US
dc.subjectprofile regressionen_US
dc.titleModelling Tails for Collinear Data with Outliers in the English Longitudinal Study of Ageing: Quantile Profile Regressionen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/bimj.201900146-
dc.relation.isPartOfBiometrical Journal-
pubs.publication-statusPublished-
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