| Milestone prediction for time-to-event endpoint monitoring in clinical trials. | |
| Fang-Shu Ou; Martin Heller; Qian Shi | |
| 刊名 | Pharmaceutical statistics
 |
| 2019 | |
| 关键词 | clinical trial density forecast combination event modeling model stacking prediction synthesis trial monitoring |
| ISSN号 | 1539-1612 |
| URL标识 | 查看原文 |
| 公开日期 | [db:dc_date_available] |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/4611925 |
| 专题 | 湖南大学 |
| 作者单位 | Department of Health Sciences Research, Mayo Clinic Cancer Center, Rochester, MN, USA. Private Practitioner, Rochester, MN, USA. |
| 推荐引用方式 GB/T 7714 | Fang-Shu Ou,Martin Heller,Qian Shi. Milestone prediction for time-to-event endpoint monitoring in clinical trials.[J]. Pharmaceutical statistics,2019. |
| APA | Fang-Shu Ou,Martin Heller,&Qian Shi.(2019).Milestone prediction for time-to-event endpoint monitoring in clinical trials..Pharmaceutical statistics. |
| MLA | Fang-Shu Ou,et al."Milestone prediction for time-to-event endpoint monitoring in clinical trials.".Pharmaceutical statistics (2019). |
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