The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Randomization in clinical trials: Conclusions and recommendations
Open accessAbstract
The statistical properties of simple (complete) randomization, permuted-block (or simply blocked) randomization, and the urn adaptive biased-coin randomization are summarized. These procedures are contrasted to covariate adaptive procedures such as minimization and to response adaptive procedures such as the play-the-winner rule. General recommendations are offered regarding the use of complete, permuted-block, or urn randomization. In a large double-masked trial, any of these procedures may be acceptable. For a given trial, the relative merits of each procedure should be carefully weighed in relation to the characteristics of the trial. Important considerations are the size of the trial, overall as well as within the smallest subgroup to be employed in a subgroup-specific analysis, whether or not the trial is to be masked, and the resources needed to perform the proper randomization-based permutational analysis.
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“Women who met these criteria were randomly assigned by the coordinating center, with the use of the simple urn method,11 stratified by clinical center.”
From A Multicenter, Randomized Trial of Treatment for Mild Gestational Diabetes (2009) · cites this paper as [11]
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“Youth with LOC participating in study 3 are randomized according to a permuted block design [46] to CBT-E or INTER-E first.”
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Cites
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“can be expressed as T1 = (1 - R)T, where T is the p roper blocked-stratified test statistic value [3].”
BackgroundMethodInfluentialSelf-citationProperties of the urn randomization in clinical trials
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Metadata
- Authors
- Lachin, J. M., Matts, J. P., & Wei, L. J.
- Affiliations
- George Washington University (US)
- University of Minnesota (US)
- University of Michigan (US)
- Corresponding author
- Lachin, John M.
- Venue
- Controlled Clinical Trials
- Publisher
- Elsevier BV
- Published
- 1988-12
- Volume
- 9
- Issue
- 4
- Pages
- 365-374
- ISSN
- 0197-2456 (ISSN-L)
- OpenAlex
- W2001307401
- Cited by
- 272
- References
- 13
- Citations by year
- 2026: 6 · 2025: 2 · 2024: 8 · 2023: 12 · 2022: 8 · 2021: 20 · 2020: 13 · 2019: 16 · 2018: 13 · 2017: 8 · 2016: 17 · 2015: 13 · 2014: 13 · 2013: 13 · 2012: 13
- FWCI
- 2.93
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Controlled Clinical Trials (publishedVersion)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- National Institutes of Health (5r01am027769-05, 5r01dk039826-05)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01-DK-39826, N01-DK-2-2206)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- randomization, permuted block randomization, covariate-adaptive randomization, minimization, response-adaptive randomization, subgroup analysis
- MeSH terms
- Clinical Trials as Topic, Humans, Random Allocation, Research Design, Models, Statistical
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