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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
WILEY-VCH Verlag
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3443386/ https://www.ncbi.nlm.nih.gov/pubmed/21834127 http://dx.doi.org/10.1002/bimj.201100052 |