Hu Chunyan,Hu Liangping,Identifying causal effects based on instrumental variables and distinguishing different models with data[J].SICHUAN MENTAL HEALTH,2022,35(4):307-312
Identifying causal effects based on instrumental variables and distinguishing different models with data
DOI:10.11886/scjsws20220710004
English keywords:Causal graph model  Causal effect  Association and bias  Identification and adjustment  Instrumental variables
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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 methods of identifying causal effects based on instrumental variables, distinguishing different models with data, and using SAS software to realize calculation. Firstly, the four main contents of causal graph theory were introduced, including sources of association, statistical properties of causal models, identification and adjustment, and instrumental variables. Secondly, for two examples and with the help of the CAUSALGRAPH procedure in SAS/STAT, the following two tasks were completed: the first task was to identify causal effects using instrumental variables; the second task was to use data to distinguish different models.
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