The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The relevance of multilevel statistical methods for identifying causal neighborhood effects
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Citations
Cites
Standard Errors and Sample Sizes for Two-Level Research
Snijders, T. A. B., & Bosker, R. J. (1993) · Journal of Educational Statistics · doi:10.3102/10769986018003237 · Cited by 487
Cited by
Diez Roux, A. V., & Mair, C. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05333.x · Cited by 2,774
Auchincloss, A. H., & Diez Roux, A. V. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn118 · Cited by 334
Riva, M., Gauvin, L., & Barnett, T. A. (2007) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2006.050740 · Cited by 334
Domestic Violence and Chronic Malnutrition among Women and Children in India
Ackerson, L. K., & Subramanian, S. V. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn049 · Cited by 299
Self-citationRevisiting Robinson: The perils of individualistic and ecologic fallacy
Subramanian, S. V., Jones, K., Kaddour, A., & Krieger, N. (2009) · International Journal of Epidemiology · doi:10.1093/ije/dyn359 · Cited by 252
Self-citation
Metadata
- Authors
- Subramanian, S. V.
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 2004-05
- Volume
- 58
- Issue
- 10
- Pages
- 1961-1967
- ISSN
- 0277-9536 (ISSN-L)
- OpenAlex
- W2079105249
- Cited by
- 231
- References
- 1
- FWCI
- 8.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The relevance of multilevel statistical methods for identifying causal neighborhood effects. https://app.cochat.ai/papers/10.1016/s0277-9536(03)00415-5
- The paper
- Subramanian, S. V. (2004). The relevance of multilevel statistical methods for identifying causal neighborhood effects. Social Science & Medicine. https://doi.org/10.1016/s0277-9536(03)00415-5
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.