4.7 Article

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

期刊

BMJ-BRITISH MEDICAL JOURNAL
卷 353, 期 -, 页码 -

出版社

BMJ PUBLISHING GROUP
DOI: 10.1136/bmj.i3140

关键词

-

资金

  1. Medical Research Council (MRC) [G0902393]
  2. MRC [MR/J013595/1, G1100513]
  3. Netherlands Organisation for Scientific Research [9120.8004, 918.10.015]
  4. MRC [MR/J013595/1, G0902393, G1100513] Funding Source: UKRI
  5. Cancer Research UK [16895] Funding Source: researchfish
  6. Medical Research Council [G1100513, MR/J013595/1, G0902393] Funding Source: researchfish
  7. National Institute for Health Research [NF-SI-0513-10131] Funding Source: researchfish

向作者/读者索取更多资源

Access to big datasets from e-health records and individual participant data (IPD) meta-analysis is signalling a new advent of external validation studies for clinical prediction models. In this article, the authors illustrate novel opportunities for external validation in big, combined datasets, while drawing attention to methodological challenges and reporting issues.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据