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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...
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| Yayımlandı: | Stat Med |
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| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
John Wiley & Sons, Ltd
2017
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5381717/ https://ncbi.nlm.nih.gov/pubmed/28110499 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7209 |
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