Analysing censored longitudinal data with non-ignorable missing values: Depression in older age
Volume
176
Pagination
415 - 430
DOI
10.1111/j.1467-985X.2011.01034.x
Journal
Journal of the Royal Statistical Society. Series A: Statistics in Society
Issue
ISSN
0964-1998
Metadata
Show full item recordAbstract
Missing 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.
Authors
Falcaro, M; Pendleton, N; Pickles, ACollections
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