Cargando…
Dynamic predictions using flexible joint models of longitudinal and time‐to‐event data
Joint models for longitudinal and time‐to‐event data are particularly relevant to many clinical studies where longitudinal biomarkers could be highly associated with a time‐to‐event outcome. A cutting‐edge research direction in this area is dynamic predictions of patient prognosis (e.g., survival pr...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Ltd
2017
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381717/ https://www.ncbi.nlm.nih.gov/pubmed/28110499 http://dx.doi.org/10.1002/sim.7209 |