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.
“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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- 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
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