Quantifying causal effects from observed data using quasi-intervention

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Yang, Jinghua;Wan, Yaping;Ni, Qianxi;Zuo, Jianhong;Wang, Jin;...

通讯作者：

Yang, J.;Ni, Q.;Wan, Y.

作者机构：

[Zhang, Xiapeng; Zhou, Lifang; Yang, Jinghua; Wan, Yaping; Wang, Jin] Univ South China, Sch Comp Sci, Hengyang, Peoples R China.

[Wan, Yaping] Hunan Prov Base Sci & Technol Innovat Cooperat, Hengyang, Peoples R China.

[Ni, Qianxi] Hunan Canc Hosp, Changsha, Peoples R China.

[Yang, Jinghua; Ni, Qianxi] Univ South China, Sch Nucl Sci & Technol, Hengyang, Peoples R China.

[Zuo, Jianhong] South China Univ, Affiliated Hosp 3, Hengyang, Peoples R China.

通讯机构：

[Jinghua Yang; Yaping Wan] S

[Qianxi Ni] H

School of Computer Science, University of South China, Hengyang, China<&wdkj&>School of Nuclear Science and Technology, University of South China, Hengyang, China<&wdkj&>School of Computer Science, University of South China, Hengyang, China<&wdkj&>Hunan Provincial Base for Scientific and Technological Innovation Cooperation, Hengyang, China<&wdkj&>Hunan Cancer Hospital, Changsha, China<&wdkj&>School of Nuclear Science and Technology, University of South China, Hengyang, China

语种：

英文

关键词：

Causal effect;Intervention;Do-algorithm;Quasi-experimental design;Quasi-intervention

期刊：

BMC Medical Informatics and Decision Making

ISSN：

1472-6947

年：

2022

卷：

期：

页码：

1-11

DOI：

10.1186/s12911-022-02086-z

基金类别：

This research was supported by grants from Innovation Special Zone Project (NO. 17-163-15-XJ-002-002-04); Hunan Province’s 2020 Innovative Province Construction Special Project to Fight the New Coronary Pneumonia Epidemic Response Support (2020SK3010); Hunan Provincial Education Department Key Project (17A185); Hunan Province Graduate Student Research and Innovation Project Funding (CX20200936); Innovation Special Zone Project (NO. 18-163-15-LZ-001-002-09); Postgraduate Scientific Research Innovation Project of Hunan Province(CX20210938).

机构署名：

本校为第一机构

院系归属：

核科学技术学院

摘要：

Causal inference is a crucial element within medical decision-making. There have been many methods for investigating potential causal relationships between disease and treatment options developed in recent years, which can be categorized into two main types: observational studies and experimental studies. However, due to the nature of experimental studies, financial resources, human resources, and patients' ethical considerations, researchers cannot fully control the exposure of the research participants. Furthermore, most existing observationa...

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Quantifying causal effects from observed data using quasi-intervention

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