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A Second Chance to Get Causal Inference Right: A Classification of Data Science Tasks
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For much of the recent history of science, learning from data was the academic realm of statistics,1,2 but in the early 20th century, the founders of modern statistics made a momentous decision abo...
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“ML can play a role in causal inference [41,340,619], including in the context of policy problems [40,453] and in climate-relevant scenarios such as estimating the effects of temperature on human mortality [356] and the effects of World Bank projects on vegetative cover [883].”
From Tackling climate change with machine learning (2023) · cites this paper as [340]
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Research works printed but not linked: 5
- Beam, A.L., and Kohane I.S. 2018. Big Data and Machine Learning in Health Care. JAMA 319(13):1,317-8.
- Robins, J.M., and Greenland, S. 1986. The role of model selection in causal inference from nonexperimental data. American Journal of Epidemiology 123(3):392-402.
- Hernán, M.A. 2015. Invited commentary: Agent-based models for causal inference-reweighting data and theory in epidemiology. American Journal of Epidemiology 2181(2):103-5.
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- Greenland, S., Pearl, .J, and Robins, J.M. Causal diagrams for epidemiologic research. Epidemiology 1999; 10(1):37-48.
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Metadata
- Authors
- Hernán, M. A., Hsu, J., & Healy, B.
- Affiliations
- Harvard University (US)
- ORCID
- Healy, Brian
- Venue
- CHANCE
- Publisher
- Informa UK Limited
- Published
- 2019-01-02
- Volume
- 32
- Issue
- 1
- Pages
- 42-49
- ISSN
- 0933-2480 (ISSN-L)
- 1867-2280
- OpenAlex
- W2798958557
- Cited by
- 495
- References
- 0
- Citations by year
- 2026: 70 · 2025: 79 · 2024: 67 · 2023: 70 · 2022: 64 · 2021: 67 · 2020: 56 · 2019: 20
- FWCI
- 40.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- CHANCE (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistics Education and Methodologies
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
- Keywords
- causal inference, history of statistics, learning from data
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