Interval estimation for treatment effects using propensity score matching
Interval estimation for treatment effects using propensity score matching
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DOI：
10.1002/sim.2277
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发表时间：
2006-07-15
影响因子：
2
通讯作者：
Reiter, Jerome P.
中科院分区：
文献类型：
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作者：
Hill, Jennifer;Reiter, Jerome P.
在没有随机分配治疗的因果研究中，可以使用匹配的治疗样本和对照样本来估计因果效应，其中使用估计的倾向得分来获得匹配。在匹配样本具有重叠协变量分布的情况下，倾向评分匹配可以减少治疗效果估计量的偏差。尽管它应用于许多应用问题，但在使用倾向得分匹配时，还没有普遍采用的区间估计方法。在本文中，我们介绍并评估使用倾向得分匹配时的区间估计方法。版权所有 (c) 2005 John Wiley & Sons, Ltd.
In causal studies without random assignment of treatment, causal effects can be estimated using matched treated and control samples, where matches are obtained using estimated propensity scores. Propensity score matching can reduce bias in treatment effect estimators in cases where the matched samples have overlapping covariate distributions. Despite its application in many applied problems, there is no universally employed approach to interval estimation when using propensity score matching. In this article, we present and evaluate approaches to interval estimation when using propensity score matching. Copyright (c) 2005 John Wiley & Sons, Ltd.