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

Eva Lorenz () and Sabine Gabrysch ()
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Eva Lorenz: University of Heidelberg
Sabine Gabrysch: University of Heidelberg

Stata Journal, 2017, vol. 17, issue 2, 503-510

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.

Keywords: ccrand; covariate-constrained randomization; cluster-randomized trials (search for similar items in EconPapers)
Date: 2017
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