期刊论文详细信息
| Journal of Causal Inference | |
| The Deductive Approach to Causal Inference | |
| article | |
| Judea Pearl1  | |
| [1] Department of Computer Science, University of California – Los Angeles | |
| 关键词: causal inference; confounding; counterfactuals; mediation; missing data; external validity; | |
| DOI : 10.1515/jci-2014-0016 | |
| 来源: De Gruyter | |
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【 摘 要 】
This paper reviews concepts, principles, and tools that have led to a coherent mathematical theory that unifies the graphical, structural, and potential outcome approaches to causal inference. The theory provides solutions to a number of pending problems in causal analysis, including questions of confounding control, policy analysis, mediation, missing data, and the integration of data from diverse studies.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202107200002829ZK.pdf | 481KB |
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