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Updated: Jun 25, 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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通过电子健康记录对治疗分配的因果公正性评估

Linying Zhang1, Lauren R Richter1, Yixin Wang2

  • 1Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.

Journal of biomedical informatics
|May 23, 2024
PubMed
概括

这项研究引入了一种新的因果公平算法,用于评估电子健康记录中的治疗分配差异. 调查结果显示,在冠状动脉旁路移植中,女性和黑人患者的代表性明显不足,这表明潜在的临床不公平.

关键词:
因果公平性是什么原因电子健康记录电子健康记录卫生公平性健康公平性机器学习 机器学习主要的公平性.

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
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Blinding01:11

Blinding

Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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Group Design02:01

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