Academic Journal
[Directed acyclic graph building and analyzing based on DAGitty].
| Τίτλος: | [Directed acyclic graph building and analyzing based on DAGitty]. |
|---|---|
| Συγγραφείς: | Chen S; National Institute of Diagnostics and Vaccine Development in Infectious Disease, School of Public Health, Xiamen University, Xiamen 361102, China Peking University People's Hospital,Beijing 100044, China., Hu XY; Peking University People's Hospital,Beijing 100044, China National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China., Li J; National Institute of Diagnostics and Vaccine Development in Infectious Disease, School of Public Health, Xiamen University, Xiamen 361102, China Peking University People's Hospital,Beijing 100044, China., Qi JL; National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China., Su YY; National Institute of Diagnostics and Vaccine Development in Infectious Disease, School of Public Health, Xiamen University, Xiamen 361102, China., Liu HX; Peking University People's Hospital,Beijing 100044, China. |
| Πηγή: | Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi [Zhonghua Liu Xing Bing Xue Za Zhi] 2026 Sep 10; Vol. 47 (9), pp. 1677-1683. |
| Τύπος έκδοσης: | English Abstract; Journal Article |
| Γλώσσα: | Chinese |
| Στοιχεία περιοδικού: | Publisher: Zhonghua yi xue hui; Zhongguo yi xue ke xue yuan Liu xing bing xue wei sheng wu xue yan jiu suo Country of Publication: China NLM ID: 8208604 Publication Model: Print Cited Medium: Print ISSN: 0254-6450 (Print) Linking ISSN: 02546450 NLM ISO Abbreviation: Zhonghua Liu Xing Bing Xue Za Zhi Subsets: MEDLINE |
| Imprint Name(s): | Publication: Beijing : Zhonghua yi xue hui; Zhongguo yi xue ke xue yuan Liu xing bing xue wei sheng wu xue yan jiu suo Original Publication: [Beijing] : Zhonghua yi xue hui; Zhongguo yi xue ke xue yuan Liu xing bing xue wei sheng wu xue yan jiu suo, [1981- |
| Ιατρικοί όροι (MeSH): | Models, Theoretical* , Software* , Computer Graphics*, Algorithms |
| Περίληψη: | Directed acyclic graph (DAG) is a common tool in structural causal models. By visualizing hypotheses about causal relationships between variables via nodes and edges, they help researchers identify bias sources, determine key variables and adjustment sets, and enhance the transparency of causal inference. However, as more variables are incorporated into a DAG, inter-variable relationships often become complex, forming large-scale multi-variable DAGs that pose significant analytical challenges. DAGitty, a browser-based platform integrating DAG drawing and analysis, supports DAG construction, identification of biasing paths, and automatic derivation of minimal sufficient adjustment sets, can greatly improve research efficiency. This paper systematically introduces DAGitty, clarifies its core functions and practical applications to provide reliable tool reference and standardized guidance for research of causal inference. |
| Competing Interests: | 所有作者声明无利益冲突 |
| Grant Information: | 81602939 National Natural Science Foundation of China; RDGS2024-05 Peking University People's Hospital Research and Development Funds |
| Contributed Indexing: | Local Abstract: [Publisher, Chinese] 有向无环图（DAG）是结构因果模型中的常用工具，它通过节点与边将变量间的因果关系假设可视化，帮助研究者识别偏倚来源、确定关键变量和最小充分调整集，提高因果关系推断过程的透明度。然而，随着纳入DAG中的变量数量增加，变量间关系往往趋于复杂，形成包含多个变量的大型DAG，分析这类复杂的DAG是研究中的挑战。DAGitty是基于浏览器开发的工具，集绘制和分析DAG的功能于一体，支持构建DAG、识别其中的偏倚路径，并自动给出最小充分调整集，显著提高了研究效率。本文旨在系统介绍DAGitty，阐明其功能与应用，为因果推断研究者提供使用参考。. |
| Entry Date(s): | Date Created: 20260919 Date Completed: 20260919 Latest Revision: 20260919 |
| Update Code: | 20260920 |
| DOI: | 10.3760/cma.j.cn112338-20251229-00934 |
| PMID: | 42763199 |
| Βάση Δεδομένων: | MEDLINE |
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