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

• Verfasst von: Lorenz, Eva [VerfasserIn]
• Verfasst von: Gabrysch, Sabine [VerfasserIn]
• Titel: Covariate-constrained randomization routine for achieving baseline balance in cluster-randomized trials
• Verf.angabe: Eva Lorenz, Sabine Gabrysch
• Jahr: 2017
• Umfang: 8 S.
• Teil: volume:17
• Teil: year:2017
• Teil: number:2
• Teil: pages:503-510
• Teil: extent:8
• Fussnoten: Gesehen am 16.10.2018
• Titel Quelle: Enthalten in: The Stata journal
• Ort Quelle: Thousand Oaks, Calif. : Sage Publishing, 2001
• Jahr Quelle: 2017
• Band/Heft Quelle: 17(2017), 2, Seite 503-510
• ISSN Quelle: 1536-8734
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: ccrand
• Sach-SW: CLUSTER randomized controlled trials
• Sach-SW: cluster-randomized trials
• Sach-SW: covariate-constrained randomization
• Sach-SW: RANDOMIZATION (Statistics)
• Sach-SW: st0484
• K10plus-PPN: 1581958536

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.