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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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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