Covariate-constrained randomization routine for achieving baseline balance in cluster-randomized trials
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. I...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2017
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| In: |
The Stata journal
Year: 2017, Volume: 17, Issue: 2, Pages: 503-510 |
| ISSN: | 1536-8734 |
| Online Access: | Verlag, Volltext: https://ideas.repec.org/a/tsj/stataj/v17y2017i2p503-510.html Verlag, Volltext: http://www.stata-journal.com/article.html?article=st0484 
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| Author Notes: | Eva Lorenz, Sabine Gabrysch |
| Summary: | 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. |
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| Item Description: | Gesehen am 16.10.2018 |
| Physical Description: | Online Resource |
| ISSN: | 1536-8734 |