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Covariate-constrained randomization routine for achieving baseline balance in cluster-randomized trials

Author

Listed:
  • Eva Lorenz

    (University of Heidelberg)

  • Sabine Gabrysch

    (University of Heidelberg)

Abstract

In cluster-randomized trials, groups or clusters of individuals, rather than individuals themselves, are randomly allocated to intervention or control. In this article, we describe a new command, ccrand, that implements a covariate- constrained randomization procedure for cluster-randomized trials. It can ensure balance of one or more baseline covariates between trial arms by restriction to allocations that meet specified balance criteria. We provide a brief overview of the theoretical background, describe ccrand and its options, and illustrate it using an example.

Suggested Citation

  • Eva Lorenz & Sabine Gabrysch, 2017. "Covariate-constrained randomization routine for achieving baseline balance in cluster-randomized trials," Stata Journal, StataCorp LP, vol. 17(2), pages 503-510, June.
    • Handle: RePEc:tsj:stataj:v:17:y:2017:i:2:p:503-510
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