The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Association, Causation, And Marginal Structural Models
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Citations
Cites
Statistics and Causal Inference
Holland, P. W. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478354 · Cited by 5,293
Robins, J. (1986) · Mathematical Modelling · doi:10.1016/0270-0255(86)90088-6 · Cited by 2,451
Self-citationCausal diagrams for empirical research
PEARL, J. (1995) · Biometrika · doi:10.1093/biomet/82.4.669 · Cited by 2,355 · cited 5×
“Pearl (1995), and Spirtes, Glymour, and Schemes (hereafter SGS) (1993) recently developed a formal theory of causal inference based on causal directed acyclic graphs (DAGs).”
BackgroundMethodInfluential
Cited by
Constructing Inverse Probability Weights for Marginal Structural Models
Cole, S. R., & Hernan, M. A. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn164 · Cited by 2,796
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
Making sense of sensitivity: extending omitted variable bias
Cinelli, C., & Hazlett, C. (2020) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/rssb.12348 · Cited by 1,088
Hirano, K., & Imbens, G. W. (2001) · Health Services and Outcomes Research Methodology · doi:10.1023/a:1020371312283 · Cited by 1,039
Comparative quantification of health risks conceptual framework and methodological issues
Murray, C. J., Ezzati, M., Lopez, A. D., Rodgers, A., & Vander Hoorn, S. (2003) · Population Health Metrics · doi:10.1186/1478-7954-1-1 · Cited by 887
Metadata
- Authors
- Robins, J. M.
- Venue
- Synthese
- Published
- 1999-11
- Volume
- 121
- Issue
- 1-2
- Pages
- 151-179
- ISSN
- 0039-7857 (ISSN-L)
- 1573-0964
- OpenAlex
- W1601979579
- Cited by
- 409
- References
- 3
- FWCI
- 2.85
- Type
- journal article
- Language
- en
- Open access
- closed
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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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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
