Statistical Science
- Statist. Sci.
- Volume 29, Number 1 (2014), 144-163.
Selecting a Biased-Coin Design
Full-text: Open access
Abstract
Biased-coin designs are used in clinical trials to allocate treatments with some randomness while maintaining approximately equal allocation. More recent rules are compared with Efron’s [Biometrika 58 (1971) 403–417] biased-coin rule and extended to allow balance over covariates. The main properties are loss of information, due to imbalance, and selection bias. Theoretical results, mostly large sample, are assembled and assessed by small-sample simulations. The properties of the rules fall into three clear categories. A Bayesian rule is shown to have appealing properties; at the cost of slight imbalance, bias is virtually eliminated for large samples.
Article information
Source
Statist. Sci., Volume 29, Number 1 (2014), 144-163.
Dates
First available in Project Euclid: 9 May 2014
Permanent link to this document
https://projecteuclid.org/euclid.ss/1399645742
Digital Object Identifier
doi:10.1214/13-STS449
Mathematical Reviews number (MathSciNet)
MR3201860
Zentralblatt MATH identifier
1332.62264
Keywords
Clinical trial covariate balancing loss of information optimum experimental design random allocation selection bias
Citation
Atkinson, Anthony C. Selecting a Biased-Coin Design. Statist. Sci. 29 (2014), no. 1, 144--163. doi:10.1214/13-STS449. https://projecteuclid.org/euclid.ss/1399645742
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