A Weighting Analogue to Pair Matching in Propensity Score Analysis
A Weighting Analogue to Pair Matching in Propensity Score Analysis
复制标题
DOI：
10.1515/ijb-2012-0030
复制
发表时间：
2013-11-01
影响因子：
1.2
通讯作者：
Greene, Tom
中科院分区：
文献类型：
--
作者：
Li, Liang;Greene, Tom
在观察性研究中，倾向评分（PS）匹配广泛用于研究治疗效果。本文提出了匹配权重（MW）的方法，作为一个模拟的一对一对匹配没有更换的PS与卡尺。与配对匹配法相比，该方法具有更高的估计效率、更精确的方差计算、更好的平衡性和更简单的渐近分析。PS模型的误设定的统计检验提出了平衡检查的目的。MW估计的一个增强版本的开发，具有双重的强大的属性，即，估计是一致的，如果结果模型或PS模型是正确的。所提出的方法进行了研究，在模拟和说明通过一个真实的数据的例子。
Propensity score (PS) matching is widely used for studying treatment effects in observational studies. This article proposes the method of matching weights (MWs) as an analog to one-to-one pair matching without replacement on the PS with a caliper. Compared with pair matching, the proposed method offers more efficient estimation, more accurate variance calculation, better balance, and simpler asymptotic analysis. A statistical test for the misspecification of the PS model is proposed for balance checking purposes. An augmented version of the MW estimator is developed that has the double robust property, that is, the estimator is consistent, if either the outcome model or the PS model is correct. The proposed method is studied in simulations and illustrated through a real data example.