Directed acyclic graphs: languages, rules and applications
10.3760/cma.j.issn.0254-6450.2017.08.029
- VernacularTitle:有向无环图:语言、规则及应用
- Author:
Yingjie ZHENG
1
;
Naiqing ZHAO
Author Information
1. 200032 上海,复旦大学公共卫生学院卫生微生物学教研室;200032 上海,复旦大学公共卫生学院教育部公共卫生安全重点实验室;200032 上海,复旦大学卫生部卫生技术评估重点实验室
- Keywords:
Directed acyclic graphs;
Causality;
Research designs;
Bias
- From:
Chinese Journal of Epidemiology
2017;38(8):1140-1144
- CountryChina
- Language:Chinese
-
Abstract:
Nearly all scientific studies explore causality,which will be met by directed acyclic graphs (DAGs).This paper systematically introduces graphic language,basic and interference rules of DAGs,and their applications into identifying research questions,understanding and undertaking research designs,guiding data analysis,classifying biases,etc.DAGs play key roles in causality studies.
