Hu Chunyan,Hu Liangping,Checking adjustment sets and finding common adjustment sets based on a causal graph model[J].SICHUAN MENTAL HEALTH,2022,35(4):302-306
Checking adjustment sets and finding common adjustment sets based on a causal graph model
DOI:10.11886/scjsws20220710003
English keywords:Causal graph model  Causal effect  Node and edge  Latent structure  Adjustment set
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Author NameAffiliationPostcode
Hu Chunyan Graduate School Academy of Military Sciences PLA China Beijing 100850 China 100850
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 
100029
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English abstract:
      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.
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