在使用观察性数据库进行的比较有效性分析中使用逆概率加权估计量。
Using inverse probability-weighted estimators in comparative effectiveness analyses with observational databases.
作者信息
Curtis Lesley H, Hammill Bradley G, Eisenstein Eric L, Kramer Judith M, Anstrom Kevin J
机构信息
Duke Clinical Research Institute, and Departments of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
出版信息
Med Care. 2007 Oct;45(10 Supl 2):S103-7. doi: 10.1097/MLR.0b013e31806518ac.
Inverse probability-weighted estimation is a powerful tool for use with observational data. In this article, we describe how this propensity score-based method can be used to compare the effectiveness of 2 or more treatments. First, we discuss the inherent problems in using observational data to assess comparative effectiveness. Next, we provide a conceptual explanation of inverse probability-weighted estimation and point readers to sources that address the method in more formal, technical terms. Finally, we offer detailed guidance about how to implement the estimators in comparative effectiveness analyses.
逆概率加权估计是一种用于观测数据的强大工具。在本文中，我们描述了这种基于倾向评分的方法如何用于比较两种或更多种治疗方法的有效性。首先，我们讨论使用观测数据评估比较有效性时存在的固有问题。接下来，我们对逆概率加权估计进行概念性解释，并为读者指出以更正式、技术化的术语阐述该方法的资料来源。最后，我们提供关于如何在比较有效性分析中实施估计量的详细指导。
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