Defining the Study Population for an Observational Study to Ensure Sufficient Overlap: A Tree Approach
Defining the Study Population for an Observational Study to Ensure Sufficient Overlap: A Tree Approach
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DOI：
10.1007/s12561-011-9036-3
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发表时间：
2011-09-01
影响因子：
1
通讯作者：
Small, Dylan S.
中科院分区：
文献类型：
--
作者：
Traskin, Mikhail;Small, Dylan S.
观察性研究的内部有效性仅通过比较在协变量分布中具有充分重叠的治疗组和对照组受试者来增强。已经开发了使用倾向评分定义研究人群的方法，以确保充分重叠。然而，由倾向评分定义的研究人群对其他研究者来说很难理解。我们开发了一种方法来定义一个研究人口的树，这是很容易理解和显示，并具有类似的内部效度的研究人口定义的倾向分数。
The internal validity of an observational study is enhanced by only comparing sets of treated and control subjects which have sufficient overlap in their covariate distributions. Methods have been developed for defining the study population using propensity scores to ensure sufficient overlap. However, a study population defined by propensity scores is difficult for other investigators to understand. We develop a method of defining a study population in terms of a tree which is easy to understand and display, and that has similar internal validity as that of the study population defined by propensity scores.