A SAS Macro for Covariate-Constrained Randomization of General Cluster-Randomized and Unstratified Designs
Ivers et al. (2012) have recently stressed the importance to both statistical power and face validity of balancing allocations to study arms on relevant covariates. While several techniques exist (e.g., minimization, pair-matching, stratification), the covariateconstrained randomization (CCR) approa...
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| Format: | Article |
| Language: | English |
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Foundation for Open Access Statistics
2017-04-01
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| Series: | Journal of Statistical Software |
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| Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/2406 |