A practical guide to propensity score analysis for applied clinical research
A practical guide to propensity score analysis for applied clinical research
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DOI：
10.1016/j.brat.2017.01.005
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发表时间：
2017-11-01
影响因子：
4.1
通讯作者：
Little, Todd D.
中科院分区：
文献类型：
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作者：
Lee, Jaehoon;Little, Todd D.
在许多临床环境中，观察性研究通常是唯一可行的选择，特别是当将参与者随机分配到不同的治疗方案是不道德或不可行的时候。在这种情况下，倾向评分（PS）分析可以用来解释可能的选择偏差，从而解决因果推理的问题。存在许多PS方法，但很少有指南可用于帮助应用研究人员进行和评价PS分析。本文对PS的估计和应用、平衡诊断、疗效估计和敏感性评估等技术及其最新进展进行了综述。我们还提供了一个教程，可用于模拟PS分析的步骤。我们的目标是提供的信息，将使PS分析范围内的应用临床研究人员和从业人员。(C)2017爱思唯尔有限公司版权所有
Observational studies are often the only viable options in many clinical settings, especially when it is unethical or infeasible to randomly assign participants to different treatment regimes. In such case propensity score (PS) analysis can be applied to accounting for possible selection bias and thereby addressing questions of causal inference. Many PS methods exist, yet few guidelines are available to aid applied researchers in their conduct and evaluation of a PS analysis. In this article we give an overview of available techniques for PS estimation and application, balance diagnostic, treatment effect estimation, and sensitivity assessment, as well as recent advances. We also offer a tutorial that can be used to emulate the steps of PS analysis. Our goal is to provide information that will bring PS analysis within the reach of applied clinical researchers and practitioners. (C) 2017 Elsevier Ltd. All rights reserved.