Analysing censored longitudinal data with non‐ignorable missing values: depression in older age. (1st May 2012)

• Record Type: Journal Article
• Authors: Falcaro, Milena; Pendleton, Neil; Pickles, Andrew
• Is Part Of: Journal of the Royal Statistical Society. Volume 176:Number 2(2013:Apr.)
• Page Start: 415
• Page End: 430
• Publication Date: 2012-05-01
• Subjects: Social sciences -- Statistical methods -- Periodicals; Statistics -- Periodicals; 300.15195
• DOI: 10.1111/j.1467-985X.2011.01034.x
• Languages: English
• ISSNs: 0964-1998

Abstract

<abstract abstract-type="main" xml:lang="en"> <title> <x xml:space="preserve">Abstract</x> </title> <p> <bold>Summary. </bold> 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.</p> </abstract>