The role of the propensity score in estimating dose-response functions
The role of the propensity score in estimating dose-response functions
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DOI：
10.1093/biomet/87.3.706
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发表时间：
2000-09-01
期刊：
影响因子：
2.7
通讯作者：
Imbens, GW
中科院分区：
文献类型：
--
作者：
Imbens, GW
在观察性研究中估计平均治疗效果通常需要对治疗前变量的差异进行调整。如果治疗前变量的数量很大，标准协方差调整方法往往是不够的。Rosenbaum和Rubin（1983）提出了一种替代方法，用于根据所谓的倾向评分调整二元治疗病例的治疗前变量。在这里，提出了一个扩展的倾向评分方法，允许估计平均因果效应与多值治疗。
Estimation of average treatment effects in observational studies often requires adjustment for differences in pre-treatment variables. If the number of pre-treatment variables is large, standard covariance adjustment methods are often inadequate. Rosenbaum & Rubin (1983) propose an alternative method for adjusting for pre-treatment variables for the binary treatment case based on the so-called propensity score. Here an extension of the propensity score methodology is proposed that allows for estimation of average casual effects with multi-valued treatments.