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dc.contributor.authorFalcaro, Men_US
dc.contributor.authorPendleton, Nen_US
dc.contributor.authorPickles, Aen_US
dc.date.accessioned2023-11-15T13:05:56Z
dc.date.issued2013-02-01en_US
dc.identifier.issn0964-1998en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/91909
dc.description.abstractMissing values are common in cohort studies of the elderly. As part of a study of cognition in older age, we implemented a model for the analysis of longitudinal depression data complicated by the presence of non-ignorable missing values, censored measurements and individually varying times of observation. The repeated measures and non-response mechanisms are jointly modelled by assuming that they depend on a common underlying process. The results of our analysis suggest that both depression and non-response increase with age and that women have systematically higher depression scores than men but do not have higher levels of study non-participation. © 2012 Royal Statistical Society.en_US
dc.format.extent415 - 430en_US
dc.relation.ispartofJournal of the Royal Statistical Society. Series A: Statistics in Societyen_US
dc.titleAnalysing censored longitudinal data with non-ignorable missing values: Depression in older ageen_US
dc.typeArticle
dc.identifier.doi10.1111/j.1467-985X.2011.01034.xen_US
pubs.issue2en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume176en_US


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