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Updated: Jan 11, 2026

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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使用大型医疗保健数据库对未测量的混进行调整的方法的评估:关于诱导早产的药物的实证研究

Chi-Hong Duong1, Sylvie Escolano1, Romain Demailly1,2

  • 1High-Dimensional Biostatistics for Drug Safety and Genomics, CESP, Université Paris-Saclay, UVSQ, Université Paris-Sud, Inserm, Villejuif, France.

Clinical and translational science
|November 12, 2025
PubMed
概括

诸如G计算 (GC) 和目标最大概率估计 (TMLE) 等因果推断方法有效地减少了大型医疗保健数据库中的混. GC在识别真正正面的药物早产症关联方面表现出卓越的表现.

关键词:
在g-computation系统中使用.机器学习是机器学习.过早分娩 过早分娩倾向性得分是指倾向性得分.有针对性的学习学习.没有测量的混者.

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