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Updated: Jun 4, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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在纵向临床研究中,将基于机器学习的多重归算方法应用于非参数的多重比较

Tuncay Yanarateş1, Erdem Karabulut1

  • 1Department of Biostatistics, School of Medicine, Hacettepe University, Ankara, Turkey.

Journal of biopharmaceutical statistics
|December 21, 2024
PubMed
概括

机器学习归算方法,包括MICE-CART和MICE-RF,在处理依赖样本中缺少的数据时更优越,用于非参数的多重比较. 这些方法的性能优于传统的列表式删除,特别是在较小的样本大小.

关键词:
依赖样本是指依赖样本.美国的米饭.机器学习是机器学习.随机失踪的人是随机失踪的人.完全随机的完全失踪.缺失的数据 缺失的数据

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