Key technology and multi-directional decomposition method of the causal mediation effect analysis / 四川精神卫生
Sichuan Mental Health
; (6): 407-411, 2022.
Artículo
en Chino
| WPRIM (Pacífico Occidental)
| ID: wpr-987371
Biblioteca responsable:
WPRO
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.
Texto completo:
Disponible
Base de datos:
WPRIM (Pacífico Occidental)
Idioma:
Chino
Revista:
Sichuan Mental Health
Año:
2022
Tipo del documento:
Artículo