Prediction and inverse estimation in repeated-measures models
โ Scribed by Erkki P. Liski; Tapio Nummi
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 520 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0378-3758
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๐ SIMILAR VOLUMES
Many long-term clinical trials collect both a vector of repeated measurements and an event time on each subject; often, the two outcomes are dependent. One example is the use of surrogate markers to predict disease onset or survival. Another is longitudinal trials which have outcome-related dropout.
Repeated measures data are frequently incomplete, unbalanced and correlated. There has been a great deal of recent interest in mixed effects models for analysing such data. In this paper, we develop bivariate response mixed effects models that are a generalization of linear mixed effects models for