| Hu Chunyan,Hu Liangping,Key technology and multi-directional decomposition method of the causal mediation effect analysis[J].SICHUAN MENTAL HEALTH,2022,35(5):407-411 |
| Key technology and multi-directional decomposition method of the causal mediation effect analysis |
DOI：10.11886/scjsws20220911002 |
| English keywords:Causal mediation effect Effect identification Maximum likelihood estimation Bootstrap method Multi-way decomposition |
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| English abstract: |
| The purpose of this paper was to introduce five key techniques and the multi-directional decomposition methods of effect components in the analysis of causal mediation effects. The contents of the five key technologies were as follows： ① identification of causal mediation effect； ② regression method of causal mediation effect analysis； ③ maximum likelihood estimation； ④ estimation of total effect and various component effects； ⑤ estimation by bootstrap method. The multi-directional decomposition methods included 3 bidirectional decompositions， 2 three-directional decompositions and 1 four-directional decomposition. Through an example， a causal mediation effect analysis model including covariates and interaction terms was constructed with the help of SAS， bidirectional decomposition， three-directional decomposition and four-directional decomposition were carried out for the total effect in the causal mediation effect analysis， and the output results were explained. |
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