Modeling Disease Trajectories for Castration-resistant Prostate Cancer Using Nationwide Population-based Data
Background: Little is known about disease trajectories for men with castration-resistant prostate cancer (CRPC). Objective: To create a state transition model that estimates time spent in the CRPC state and its outcomes. Design, setting, and participants: The model was generated using population-bas...
| 主要な著者: | , , , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier
2022-10-01
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| シリーズ: | European Urology Open Science |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2666168322007406 |