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Modeling the underlying biological processes in Alzheimer's disease using a multivariate competing risk joint model
Many clinical trials repeatedly measure several longitudinal outcomes on patients. Patient follow‐up can discontinue due to an outcome‐dependent event, such as clinical diagnosis, death, or dropout. Joint modeling is a popular choice for the analysis of this type of data. Using example data from a p...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545329/ https://www.ncbi.nlm.nih.gov/pubmed/35582814 http://dx.doi.org/10.1002/sim.9425 |