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Updated: Jan 8, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Published on: January 8, 2020

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倾向性得分的比较有效性估计方法治疗的逆概率权衡分析与复杂的调查数据:一个模拟研究

Lihua Li1, Chen Yang2, Liangyuan Hu3

  • 1Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Health Care Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Journal of survey statistics and methodology
|December 24, 2025
PubMed
概括

随机森林 (RF) 在复杂的调查数据分析中优于其他倾向评分方法的因果推理. 这种机器学习方法是推用于估计人口平均治疗效果的,特别是有限的重叠.

关键词:
衰老研究研究 衰老研究复杂的调查数据 复杂的调查数据治疗权衡的反向概率 (IPTW)机器学习方法 机器学习方法人口平均治疗效应 (PATE)

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