Identifying causal effects based on instrumental variables and distinguishing different models with data / 四川精神卫生
Sichuan Mental Health
;
(6): 307-312, 2022.
Artículo
en Chino
| WPRIM
| ID: wpr-987388
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Idioma:
Chino
Revista:
Sichuan Mental Health
Año:
2022
Tipo del documento:
Artículo
Similares
MEDLINE
...
LILACS
LIS