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Constructing and searching adjustment sets based on a causal graph model / 四川精神卫生
Sichuan Mental Health ; (6): 297-301, 2022.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-987386
Responsible library: WPRO
ABSTRACT
The purpose of this paper was to introduce the basic knowledge of the causal graph model, the contents of the CAUSALGRAPH procedure and the method of constructing and searching adjustment sets based on the CAUSALGRAPH procedure in SAS/STAT. The causal graph model was the product of the combination of graph theory and probability theory. It could find all possible adjustment sets including the minimum adjustment set based on the action relationship between the variables set by the user. The contents of the CAUSALGRAPH procedure mainly included three identification criteria, two operating modes and one verification checking method. This paper analyzed the causal effect of two instances based on the CAUSALGRAPH procedure in SAS, and explained the output results.

Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Sichuan Mental Health Year: 2022 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Sichuan Mental Health Year: 2022 Document type: Article
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