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基于因果图模型检验调整集和寻找共用调整集

Checking adjustment sets and finding common adjustment sets based on a causal graph model
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摘要 本文目的是介绍基于因果图模型检验调整集、寻找共用调整集以及用SAS软件实现统计计算。首先,介绍与因果图模型有关的基本概念;其次,介绍因果图理论的初级内容,包括因果图的组成和术语;最后,针对两个实例并借助SAS/STAT中的CAUSALGRAPH过程,完成以下两项任务:①检验调整集和枚举路径;②寻找多个因果图模型共用的调整集。 The purpose of this paper was to introduce the method of checking adjustment sets based on a causal graph model,finding common adjustment sets and implementing the statistical calculation with SAS software.Firstly,the basic concepts related to the causal graph model were introduced.Secondly,the primary contents of the causal graph theory were given,including the composition and terminology of the causality diagram.Finally,for the two instances and with the help of the CAUSALGRAPH procedure in SAS/STAT,the following two tasks were completed:the first task was to examine the adjustment set and enumerate paths;the second task was to find the adjustment set common to the multiple causal graph models.
作者 胡纯严 胡良平 Hu Chunyan;Hu Liangping(Graduate School,Academy of Military Sciences PLA China,Beijing 100850,China;Specialty Committee of Clinical Scientific Research Statistics of World Federation of Chinese Medicine Societies,Beijing 100029,China)
出处 《四川精神卫生》 2022年第4期302-306,共5页 Sichuan Mental Health
关键词 因果图模型 因果效应 结点和边 潜在结构 调整集 Causal graph model Causal effect Node and edge Latent structure Adjustment set
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