Checking adjustment sets and finding common adjustment sets based on a causal graph model
10.11886/scjsws20220710003
- VernacularTitle:基于因果图模型检验调整集和寻找共用调整集
- Author:
Chunyan HU
1
;
Liangping HU
1
Author Information
1. Graduate School， Academy of Military Sciences PLA China， Beijing 100850， China
- Publication Type:Journal Article
- Keywords:
Causal graph model;
Causal effect;
Node and edge;
Latent structure;
Adjustment set
- From:
Sichuan Mental Health
2022;35(4):302-306
- CountryChina
- Language:Chinese
-
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.
