Abstract
李智文,张乐,刘建蒙,任爱国.倾向评分配比在流行病学设计中的应用[J].Chinese journal of Epidemiology,2009,30(5):514-517
倾向评分配比在流行病学设计中的应用
Application of propensity score matching in the design of an epidemiological study
Received:November 03, 2008  
DOI:
KeyWord: 倾向评分配比  混杂偏倚  流行病学
English Key Word: Propensity score matching  Confounding bias  Epidemiology
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Author NameAffiliationE-mail
LI Zhi-wen Institute of Reproductive and Child Health, Peking University Health Science Center, Beijing 100191, China  
ZHANG Le Institute of Reproductive and Child Health, Peking University Health Science Center, Beijing 100191, China  
LIU Jian-meng Institute of Reproductive and Child Health, Peking University Health Science Center, Beijing 100191, China  
PEN Ai-guo Institute of Reproductive and Child Health, Peking University Health Science Center, Beijing 100191, China renaiguo@gmail.com 
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Abstract:
      介绍倾向评分配比法(PSM)的基本原理、具体方法,并结合实例探讨其在流行病学设计过程中的应用。PSM通过某些观察性研究某些混杂变量与研究因素的关系计算倾向评分,然后从对照组中为处理组每个个体寻找一个或多个倾向评分值相同或非常接近的个体做对照,最终使选取观察对象的混杂变量在处理组和对照组趋于均衡可比。实例分析表明。利用PSM筛选后的研究对象,主要混杂因素在两组中的偏差下降在55%以上。结论:PSM可有效降低观察性研究的混杂偏倚,在流行病学设计阶段使用PSM可使某些观察性研究得到类似随机对照研究的效果。
English Abstract:
      In this article, we presented the rationale and calculation procedures of the propcnsity score matching (PSM), and its application in the designing stage of an cpidcrniological study. Based on existing observational data, PSM can be used to select one or more comparable controls for each subject in 'treatment' group according to the propensity scores estimated by 'treatment' variable and main covariates. The results of an example analysis showed that the bias for main confounders between the treated and control samples declined more than 55% after PMS.Conclusion: PSM can reduce most of the confounding bias of the observational study, and can obtain approximate study effect to the randomized controlled trials when used in the designing of thc cpidcmiological study.
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