| 郑英杰,赵耐青.有向无环图:语言、规则及应用[J].Chinese journal of Epidemiology,2017,38(8):1140-1144 |
| 有向无环图:语言、规则及应用 |
| Directed acyclic graphs:languages,rules and applications |
| Received:January 10, 2017 |
| DOI：10.3760/cma.j.issn.0254-6450.2017.08.029 |
| KeyWord: 有向无环图 因果关系 研究设计 偏倚 |
| English Key Word: Directed acyclic graphs Causality Research designs Bias |
| FundProject:国家自然科学基金（81373065） |
| Author Name | Affiliation | E-mail | | Zheng Yingjie | Department of Public Health Microbiology, School of Public Health, Fudan University, Shanghai 200032, China
Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
Key Laboratory of Health Technology Assessment, Ministry of Health, Fudan University, Shanghai 200032, China | yjzheng@shmu.edu.cn | | Zhao Naiqing | Department of Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China | nqzhao@shmu.edu.cn |
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| Abstract: |
| 几乎所有的科学研究都在探索因果关系，有向无环图（DAGs）是因果关系研究的图形工具。本文系统地介绍了DAGs的图形语言、基本规则和干扰规则，及其在识别研究问题、理解和实施研究设计、指导数据分析、偏倚分类等方面的应用。DAGs对因果关系的研究具有重要的指导价值。 |
| English 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. |
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