Analysing censored longitudinal data with non-ignorable missing values: depression in older age

作者：Falcaro Milena^*; Pendleton Neil; Pickles Andrew

来源：Journal of the Royal Statistical Society - Series A: Statistics in Society , 2013, 176(2): 415-430.

DOI：10.1111/j.1467-985X.2011.01034.x

• Censoring
• Individually varying times of observation
• Longitudinal data
• Non-ignorable missing values
• Structural equations modelling

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.

• 出版日期2013