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Analysing censored longitudinal data with non‐ignorable missing values: depression in older age
Author(s) -
Falcaro Milena,
Pendleton Neil,
Pickles Andrew
Publication year - 2013
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/j.1467-985x.2011.01034.x
Subject(s) - missing data , depression (economics) , longitudinal study , longitudinal data , psychology , cohort , health and retirement study , cognition , statistics , demography , medicine , gerontology , mathematics , psychiatry , economics , sociology , macroeconomics
Summary. 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.