ロード中...
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...
保存先:
| 出版年: | Stat Med |
|---|---|
| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley & Sons, Ltd
2017
|
| 主題: | |
| オンライン･アクセス: | 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 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|