Joint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and rupture
Shared random effects joint models are becoming increasingly popular for investigating the relationship between longitudinal and time-to-event data. Although appealing, such complex models are computationally intensive, and quick, approximate methods may provide a reasonable alternative. In this pap...
| Main Authors: | , |
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| Format: | Online |
| Language: | English |
| Published: |
WILEY-VCH Verlag
2011
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3443386/ |