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Analysing censored longitudinal data with non-ignorable missing values: depression in older age
Ist Teil von
Journal of the Royal Statistical Society. Series A, Statistics in society, 2013-02, Vol.176 (2), p.415-430
Ort / Verlag
Oxford, UK: Blackwell Publishing Ltd
Erscheinungsjahr
2013
Link zum Volltext
Quelle
Wiley Online Library Journals Frontfile Complete
Beschreibungen/Notizen
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.