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Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment
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“The diffusion of treatment into control conditions threatens the internal validity of the experiment by violating the stable unit treatment value assumption that the effect of a treatment on a given observational unit is independent of the intervention assignment to other observational units (Rubin, 1980).”
From Police reform in public housing contexts: Body‐worn cameras, surveillance, and harm reduction in New York City Housing Authority Developments (2024) · cites this paper as Rubin, 1980
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Caliendo, M., & Kopeinig, S. (2008) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2007.00527.x · Cited by 6,238
Statistics and Causal Inference
Holland, P. W. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478354 · Cited by 5,293
Propensity Score-Matching Methods for Nonexperimental Causal Studies
Dehejia, R., & Wahba, S. (2002) · The Review of Economics and Statistics · doi:10.1162/003465302317331982 · Cited by 4,864
Identification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230
Self-citationManipulation of the Running Variable in the Regression Discontinuity Design: A Density Test,
McCrary, J. (2008) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.005 · Cited by 3,600
Metadata
- Authors
- Rubin, D. B.
- Corresponding author
- Rubin, Donald B.
- ORCID
- Rubin, Donald B.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1980-09
- Volume
- 75
- Issue
- 371
- Pages
- 591
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2314734263
- Cited by
- 1,368
- References
- 0
- Citations by year
- 2026: 71 · 2025: 101 · 2024: 101 · 2023: 77 · 2022: 82 · 2021: 102 · 2020: 97 · 2019: 101 · 2018: 72 · 2017: 50 · 2016: 57 · 2015: 68 · 2014: 46 · 2013: 35 · 2012: 55
- FWCI
- 1.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American Statistical Association (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Keywords
- experimental data, causal inference, randomized experiments, hypothesis testing
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment. https://app.cochat.ai/papers/10.2307/2287653
- The paper
- Rubin, D. B. (1980). Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment. Journal of the American Statistical Association. https://doi.org/10.2307/2287653
