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Allocation techniques for balance at baseline in cluster randomized trials: a methodological review
Reviews have repeatedly noted important methodological issues in the conduct and reporting of cluster randomized controlled trials (C-RCTs). These reviews usually focus on whether the intracluster correlation was explicitly considered in the design and analysis of the C-RCT. However, another importa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503622/ https://www.ncbi.nlm.nih.gov/pubmed/22853820 http://dx.doi.org/10.1186/1745-6215-13-120 |
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author | Ivers, Noah M Halperin, Ilana J Barnsley, Jan Grimshaw, Jeremy M Shah, Baiju R Tu, Karen Upshur, Ross Zwarenstein, Merrick |
author_facet | Ivers, Noah M Halperin, Ilana J Barnsley, Jan Grimshaw, Jeremy M Shah, Baiju R Tu, Karen Upshur, Ross Zwarenstein, Merrick |
author_sort | Ivers, Noah M |
collection | PubMed |
description | Reviews have repeatedly noted important methodological issues in the conduct and reporting of cluster randomized controlled trials (C-RCTs). These reviews usually focus on whether the intracluster correlation was explicitly considered in the design and analysis of the C-RCT. However, another important aspect requiring special attention in C-RCTs is the risk for imbalance of covariates at baseline. Imbalance of important covariates at baseline decreases statistical power and precision of the results. Imbalance also reduces face validity and credibility of the trial results. The risk of imbalance is elevated in C-RCTs compared to trials randomizing individuals because of the difficulties in recruiting clusters and the nested nature of correlated patient-level data. A variety of restricted randomization methods have been proposed as way to minimize risk of imbalance. However, there is little guidance regarding how to best restrict randomization for any given C-RCT. The advantages and limitations of different allocation techniques, including stratification, matching, minimization, and covariate-constrained randomization are reviewed as they pertain to C-RCTs to provide investigators with guidance for choosing the best allocation technique for their trial. |
format | Online Article Text |
id | pubmed-3503622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35036222012-11-22 Allocation techniques for balance at baseline in cluster randomized trials: a methodological review Ivers, Noah M Halperin, Ilana J Barnsley, Jan Grimshaw, Jeremy M Shah, Baiju R Tu, Karen Upshur, Ross Zwarenstein, Merrick Trials Review Reviews have repeatedly noted important methodological issues in the conduct and reporting of cluster randomized controlled trials (C-RCTs). These reviews usually focus on whether the intracluster correlation was explicitly considered in the design and analysis of the C-RCT. However, another important aspect requiring special attention in C-RCTs is the risk for imbalance of covariates at baseline. Imbalance of important covariates at baseline decreases statistical power and precision of the results. Imbalance also reduces face validity and credibility of the trial results. The risk of imbalance is elevated in C-RCTs compared to trials randomizing individuals because of the difficulties in recruiting clusters and the nested nature of correlated patient-level data. A variety of restricted randomization methods have been proposed as way to minimize risk of imbalance. However, there is little guidance regarding how to best restrict randomization for any given C-RCT. The advantages and limitations of different allocation techniques, including stratification, matching, minimization, and covariate-constrained randomization are reviewed as they pertain to C-RCTs to provide investigators with guidance for choosing the best allocation technique for their trial. BioMed Central 2012-08-01 /pmc/articles/PMC3503622/ /pubmed/22853820 http://dx.doi.org/10.1186/1745-6215-13-120 Text en Copyright ©2012 Ivers et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Ivers, Noah M Halperin, Ilana J Barnsley, Jan Grimshaw, Jeremy M Shah, Baiju R Tu, Karen Upshur, Ross Zwarenstein, Merrick Allocation techniques for balance at baseline in cluster randomized trials: a methodological review |
title | Allocation techniques for balance at baseline in cluster randomized trials: a methodological review |
title_full | Allocation techniques for balance at baseline in cluster randomized trials: a methodological review |
title_fullStr | Allocation techniques for balance at baseline in cluster randomized trials: a methodological review |
title_full_unstemmed | Allocation techniques for balance at baseline in cluster randomized trials: a methodological review |
title_short | Allocation techniques for balance at baseline in cluster randomized trials: a methodological review |
title_sort | allocation techniques for balance at baseline in cluster randomized trials: a methodological review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503622/ https://www.ncbi.nlm.nih.gov/pubmed/22853820 http://dx.doi.org/10.1186/1745-6215-13-120 |
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