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一个框架来理解在现实世界医疗保健数据中的选择偏差

Ritoban Kundu1, Xu Shi1, Jean Morrison1

  • 1Department of Biostatistics, University of Michigan, Ann Arbor, USA.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)
|September 16, 2024
PubMed
概括

研究人员现在可以使用行政患者数据进行研究. 本文介绍了在电子健康记录 (EHR) 研究中解决选择偏差的方法,提高数据准确性.

关键词:
密歇根基因组学倡议 密歇根基因组学倡议校准校准的时间定向非循环图是指向的非循环图.相反的概率权衡.不概率样本是指一个非概率样本.在分层后的分层化过程中,

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