Liang and Zeger proposed a generalized estimating equations approach to the analysis of longitudinal data. Their models assume that missing observations are missing completely at random in the sense of Rubin. However, when this assumption does not hold, their analysis may yield biased results. In th
โฆ LIBER โฆ
Latent class models for longitudinal studies of the elderly with data missing at random
โ Scribed by Beth A Reboussin; Michael E Miller; Kurt K Lohman; Thomas R Ten Have
- Book ID
- 108547985
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 247 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0035-9254
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Subjects often drop out of longitudinal studies prematurely, yielding unbalanced data with unequal numbers of measures for each subject. A simple and convenient approach to analysis is to develop summary measures for each individual and then regress the summary measures on between-subject covariates