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Updated: Jul 16, 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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半监督混合物多源可交换性模型,用于在临床试验中利用真实数据.

Lillian M F Haine1, Thomas A Murry1, Raquel Nahra2

  • 1Division of Biostatistics, University of Minnesota, Minneapolis, MN, 55414, USA.

Biostatistics (Oxford, England)
|September 12, 2023
PubMed
概括

这项研究引入了一种新的贝叶斯方法,将真实世界数据 (RWD) 集成到临床试验中,提高效率并减少偏差. 该方法有效地借用信息,当数据源对齐和减轻风险,当他们不同时.

关键词:
贝叶斯模型的平均值是贝叶斯的模型.因果推理的原因推理.流感是一次流感.倾向性得分 倾向性得分现实世界的数据数据.

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