Abstract
李智文,刘建蒙,任爱国.基于个体的标准化法--倾向评分加权[J].Chinese journal of Epidemiology,2010,31(2):223-226
基于个体的标准化法--倾向评分加权
Introduction to an individual-based standardization method--‘propensity score weighting
Received:August 14, 2009  
DOI:
KeyWord: 倾向评分加权  标准化法  混杂偏倚
English Key Word: Propensity score weighting  Standardization method  Confounding bias
FundProject:
Author NameAffiliationE-mail
LI Zhi-wen Institute of Reproductive and Child Health, Peking University, Beijing 100191, China  
LIU Jian-meng Institute of Reproductive and Child Health, Peking University, Beijing 100191, China  
REN Ai-guo Institute of Reproductive and Child Health, Peking University, Beijing 100191, China renaiguo@gmail.com 
Hits: 8407
Download times: 5003
Abstract:
      倾向评分加权是利用倾向评分值对每个观察单位进行加权调整。由于倾向评分将许多协变量综合为一个变量,因此通过倾向评分加权可以使各混杂变量在两组人群中的分布趋于一致。根据调整后标准人群的不同分为两种加权方法:逆处理概率加权法(IPTW)和标准化死亡比加权法(SMRW)。本文实例分析表明,用IPTW和sMRw加权调整后处理组和对照组妇女各混杂变茸的分布均趋于一致,两种方法调整后的效应估计摹本相同。本文介绍倾向评分加权法的基本原理、具体方法,并结合实例探讨了其在流行病学中的应用。
English Abstract:
      In this article,we presented the rationale and calculation procedures of a propensity score weighting method.with its application in epidemiologieal studies.11he rmionale for propensity score weighting method is similar to those for traditional standardization methods.Propensity score iS used to estimate the weight for each individual.As the propensity score serves the function of observed covariates,the propensity score weighting Can balance the distribution of the observed covariates between the comparison groups.There are two weilghting methods according to the target standard populations:the Inverse probability of treatment weighting(IPTW)and the Standardized mortality ratio weighting(SMRW).Results of the example show that the distribution of the covariates tended to be consistent after weighting,and the IPTW and SMRW methods showed similar effect estimates.Propensity score weighting method can effeetively balance the distribution of the COIlfounding factors between the compared groupS in non.randomized controlled trials.
View Fulltext   Html FullText     View/Add Comment  Download reader
Close