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DAGs generalize conventional linear path diagrams and are entirely nonparametric.
“a generalization of conventional linear path diagrams (Wright 1934, Blalock 1964, Duncan 1966, Bollen 1989) that is entirely nonparametric”
From Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable (2014) · cites this paper as Elwert 2013
Cites
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Confounding and Collapsibility in Causal Inference
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Cooperative behavior cascades in human social networks
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A New Criterion for Confounder Selection
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Data, Design, and Background Knowledge in Etiologic Inference
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[Bayesian Analysis in Expert Systems]: Comment: Graphical Models, Causality and Intervention
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Small Classes in the Early Grades, Academic Achievement, and Graduating From High School.
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An axiomatic characterization of causal counterfactuals
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Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable
Elwert, F., & Winship, C. (2014) · Annual Review of Sociology · doi:10.1146/annurev-soc-071913-043455 · Cited by 1,168 · see citing works
Self-citationThinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data
Rohrer, J. M. (2018) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245917745629 · Cited by 1,002 · see citing works
“estimation of the identified effect are two distinct problems (Elwert, 2013): The right variables can be controlled for, but this can be done in the wrong way, as I discuss later.”
BackgroundInfluentialInterpretation and identification of causal mediation
Pearl, J. (2014) · Psychological Methods · doi:10.1037/a0036434 · Cited by 554 · see citing works
That’s a Lot to Process! Pitfalls of Popular Path Models
Rohrer, J. M., Hünermund, P., Arslan, R. C., & Elson, M. (2022) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459221095827 · Cited by 267 · see citing works
Karlsson, P., & Bergmark, A. (2015) · Addiction · doi:10.1111/add.12799 · Cited by 148 · see citing works
Silva, C., Ferreira, C., Mendes, A. L., & Marta-Simões, J. (2019) · Women & Health · doi:10.1080/03630242.2018.1487906 · Cited by 13 · see citing works
- Authors
- Elwert, F.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Elwert, Felix
- ORCID
- Elwert, Felix
- Venue
- Handbooks of Sociology and Social Research
- Publisher
- Springer Netherlands
- Published
- 2013
- Pages
- 245-273
- ISSN
- 1389-6903 (ISSN-L)
- OpenAlex
- W2179859124
- Cited by
- 325
- References
- 18
- Citations by year
- 2026: 14 · 2025: 29 · 2024: 43 · 2023: 38 · 2022: 48 · 2021: 30 · 2020: 30 · 2019: 18 · 2018: 20 · 2017: 18 · 2016: 14 · 2015: 11 · 2014: 11 · 2013: 1
- FWCI
- 34.05
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Handbooks of sociology and social research (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Keywords
- directed acyclic graphs, causal inference, observational data, causal identification, d-separation, confounding, overcontrol, social networks, time-varying treatments
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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