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Using predictions from a joint model for longitudinal and survival data to inform the optimal time of intervention in an abdominal aortic aneurysm screening programme
Joint models of longitudinal and survival data can be used to predict the risk of a future event occurring based on the evolution of an endogenous biomarker measured repeatedly over time. This has led naturally to the use of dynamic predictions that update each time a new longitudinal measurement is...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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John Wiley and Sons Inc.
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697657/ https://www.ncbi.nlm.nih.gov/pubmed/28436113 http://dx.doi.org/10.1002/bimj.201600222 |