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Updated: May 17, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

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机器学习和双重可靠的估计器在结合高维代理来减少剩余混方面有多有效?

Mohammad Ehsanul Karim1,2, Yang Lei3

  • 1School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.

Pharmacoepidemiology and drug safety
|May 14, 2025
PubMed
概括

高维代理可以改善观测研究中的混调整. 使用代理的标准方法是稳健的,而TMLE中的复杂机器学习可能会减少覆盖范围,需要仔细配置.

关键词:
TMLE TMLE TMLE TMLE TMLE TMLE TMLE TMLE TMLE这是一个HDPS系统.这是一个高维的高维空间.塑模拟模拟的方法代理调整的调整.

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