Joint analysis of longitudinal data comprising repeated measures and times to events
β Scribed by Jane Xu; Scott L. Zeger
- Book ID
- 108547910
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 207 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0035-9254
No coin nor oath required. For personal study only.
π 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.
## Abstract Shared random effects joint models are becoming increasingly popular for investigating the relationship between longitudinal and timeβtoβevent data. Although appealing, such complex models are computationally intensive, and quick, approximate methods may provide a reasonable alternative