Optimal caliper width for propensity score matching of three treatment groups: a Monte Carlo study.
Optimal caliper width for propensity score matching of three treatment groups: a Monte Carlo study.
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三个治疗组倾向得分匹配的最佳卡尺宽度：蒙特卡罗研究
DOI：
10.1371/journal.pone.0081045
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Xia J
中科院分区：
文献类型：
--
作者：
Wang Y;Cai H;Li C;Jiang Z;Wang L;Song J;Xia J
倾向评分匹配是一种减少非随机和观察性研究中偏倚的方法。倾向评分匹配主要应用于两个治疗组，而不是多个治疗组，因为影响其应用于多个治疗组的一些关键问题尚未解决，例如匹配距离，基线变量平衡的评估以及最佳卡尺宽度的选择。本研究的主要目的是比较使用不同卡尺的倾向评分匹配方法，并选择用于三个治疗组的最佳卡尺宽度。作者使用的卡尺宽度为倾向评分logit的合并标准差的0.1 - 0.8，增量为0.1。通过标准化差异评估基线变量的平衡。还报告了不同倾向评分匹配样本中组间估计值的匹配比、相对偏倚和均方误差（MSE）。Monte Carlo模拟的结果表明，使用倾向评分logit的合并标准差的卡尺宽度为0.2的匹配在估计治疗效果方面提供了优越的上级性能。本研究为三个治疗组倾向评分匹配的应用提供了切实可行的解决方案。
Propensity score matching is a method to reduce bias in non-randomized and observational studies. Propensity score matching is mainly applied to two treatment groups rather than multiple treatment groups, because some key issues affecting its application to multiple treatment groups remain unsolved, such as the matching distance, the assessment of balance in baseline variables, and the choice of optimal caliper width. The primary objective of this study was to compare propensity score matching methods using different calipers and to choose the optimal caliper width for use with three treatment groups. The authors used caliper widths from 0.1 to 0.8 of the pooled standard deviation of the logit of the propensity score, in increments of 0.1. The balance in baseline variables was assessed by standardized difference. The matching ratio, relative bias, and mean squared error (MSE) of the estimate between groups in different propensity score-matched samples were also reported. The results of Monte Carlo simulations indicate that matching using a caliper width of 0.2 of the pooled standard deviation of the logit of the propensity score affords superior performance in the estimation of treatment effects. This study provides practical solutions for the application of propensity score matching of three treatment groups.
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