使用倾向和预后评分的治疗效果评估器的回顾和比较。

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-11-01 DOI:10.1515/ijb-2021-0005

Myoung-Jae Lee, Sanghyeok Lee

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引用次数: 3

摘要

在寻找二元治疗的效果，从业者大多使用倾向得分匹配(PSM)或逆概率加权(IPW)。然而，现在有许多新的治疗效果估计方法，使用倾向评分和“预后评分”，其中一些估计方法在某些方面比PSM和IPW要好得多。在本文中，我们回顾了最近的治疗效果估计，以说明它们是如何相互关联的，以及为什么它们比PSM和IPW更好。我们通过广泛的模拟和实证研究比较了总共26个估计器。基于这些，我们推荐最近使用“重叠权重”的治疗效果估计器，使用统计/机器学习的“目标MLE”，以及使用线性预后评分模型的简单回归imputation/调整估计器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Review and comparison of treatment effect estimators using propensity and prognostic scores.

In finding effects of a binary treatment, practitioners use mostly either propensity score matching (PSM) or inverse probability weighting (IPW). However, many new treatment effect estimators are available now using propensity score and "prognostic score", and some of these estimators are much better than PSM and IPW in several aspects. In this paper, we review those recent treatment effect estimators to show how they are related to one another, and why they are better than PSM and IPW. We compare 26 estimators in total through extensive simulation and empirical studies. Based on these, we recommend recent treatment effect estimators using "overlap weight", and "targeted MLE" using statistical/machine learning, as well as a simple regression imputation/adjustment estimator using linear prognostic score models.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.

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