Statistical analysis and optimal design for cluster randomized trials.
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In randomized new-versus-usual-practice trials, sites are allocated at random to either the new active implementation or the usual practice condition; group-level allocation makes this a cluster-randomized design.
“Here the sites (practices, communities, organizations) are assigned randomly to the new active implementation or usual practice condition. As random assignment is at the group rather than individual level, this forms a cluster-randomized design (75, 95).”
From An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017) · cites this paper as [95]
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- Authors
- Raudenbush, S. W.
- Affiliations
- Michigan State University (US)
- Corresponding author
- Raudenbush, Stephen W.
- Venue
- Psychological Methods
- Published
- 1997-06
- Volume
- 2
- Issue
- 2
- Pages
- 173-185
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2069517904
- Cited by
- 636
- References
- 22
- Citations by year
- 2026: 13 · 2025: 16 · 2024: 23 · 2023: 27 · 2022: 26 · 2021: 30 · 2020: 29 · 2019: 28 · 2018: 34 · 2017: 31 · 2016: 30 · 2015: 30 · 2014: 29 · 2013: 35 · 2012: 25
- FWCI
- 4.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Methods (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Keywords
- optimal design, statistical analysis, cluster size, allocation ratio, variance components
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