Cargando…

An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome

BACKGROUND: The current methodology for sample size calculations for stepped-wedge cluster randomised trials (SW-CRTs) is based on the assumption of equal cluster sizes. However, as is often the case in cluster randomised trials (CRTs), the clusters in SW-CRTs are likely to vary in size, which in ot...

Descripción completa

Detalles Bibliográficos
Autores principales: Kristunas, Caroline A., Smith, Karen L., Gray, Laura J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5341460/
https://www.ncbi.nlm.nih.gov/pubmed/28270224
http://dx.doi.org/10.1186/s13063-017-1832-8
_version_ 1782512995393339392
author Kristunas, Caroline A.
Smith, Karen L.
Gray, Laura J.
author_facet Kristunas, Caroline A.
Smith, Karen L.
Gray, Laura J.
author_sort Kristunas, Caroline A.
collection PubMed
description BACKGROUND: The current methodology for sample size calculations for stepped-wedge cluster randomised trials (SW-CRTs) is based on the assumption of equal cluster sizes. However, as is often the case in cluster randomised trials (CRTs), the clusters in SW-CRTs are likely to vary in size, which in other designs of CRT leads to a reduction in power. The effect of an imbalance in cluster size on the power of SW-CRTs has not previously been reported, nor what an appropriate adjustment to the sample size calculation should be to allow for any imbalance. We aimed to assess the impact of an imbalance in cluster size on the power of a cross-sectional SW-CRT and recommend a method for calculating the sample size of a SW-CRT when there is an imbalance in cluster size. METHODS: The effect of varying degrees of imbalance in cluster size on the power of SW-CRTs was investigated using simulations. The sample size was calculated using both the standard method and two proposed adjusted design effects (DEs), based on those suggested for CRTs with unequal cluster sizes. The data were analysed using generalised estimating equations with an exchangeable correlation matrix and robust standard errors. RESULTS: An imbalance in cluster size was not found to have a notable effect on the power of SW-CRTs. The two proposed adjusted DEs resulted in trials that were generally considerably over-powered. CONCLUSIONS: We recommend that the standard method of sample size calculation for SW-CRTs be used, provided that the assumptions of the method hold. However, it would be beneficial to investigate, through simulation, what effect the maximum likely amount of inequality in cluster sizes would be on the power of the trial and whether any inflation of the sample size would be required. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13063-017-1832-8) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5341460
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-53414602017-03-10 An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome Kristunas, Caroline A. Smith, Karen L. Gray, Laura J. Trials Methodology BACKGROUND: The current methodology for sample size calculations for stepped-wedge cluster randomised trials (SW-CRTs) is based on the assumption of equal cluster sizes. However, as is often the case in cluster randomised trials (CRTs), the clusters in SW-CRTs are likely to vary in size, which in other designs of CRT leads to a reduction in power. The effect of an imbalance in cluster size on the power of SW-CRTs has not previously been reported, nor what an appropriate adjustment to the sample size calculation should be to allow for any imbalance. We aimed to assess the impact of an imbalance in cluster size on the power of a cross-sectional SW-CRT and recommend a method for calculating the sample size of a SW-CRT when there is an imbalance in cluster size. METHODS: The effect of varying degrees of imbalance in cluster size on the power of SW-CRTs was investigated using simulations. The sample size was calculated using both the standard method and two proposed adjusted design effects (DEs), based on those suggested for CRTs with unequal cluster sizes. The data were analysed using generalised estimating equations with an exchangeable correlation matrix and robust standard errors. RESULTS: An imbalance in cluster size was not found to have a notable effect on the power of SW-CRTs. The two proposed adjusted DEs resulted in trials that were generally considerably over-powered. CONCLUSIONS: We recommend that the standard method of sample size calculation for SW-CRTs be used, provided that the assumptions of the method hold. However, it would be beneficial to investigate, through simulation, what effect the maximum likely amount of inequality in cluster sizes would be on the power of the trial and whether any inflation of the sample size would be required. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13063-017-1832-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-07 /pmc/articles/PMC5341460/ /pubmed/28270224 http://dx.doi.org/10.1186/s13063-017-1832-8 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Kristunas, Caroline A.
Smith, Karen L.
Gray, Laura J.
An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome
title An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome
title_full An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome
title_fullStr An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome
title_full_unstemmed An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome
title_short An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome
title_sort imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5341460/
https://www.ncbi.nlm.nih.gov/pubmed/28270224
http://dx.doi.org/10.1186/s13063-017-1832-8
work_keys_str_mv AT kristunascarolinea animbalanceinclustersizesdoesnotleadtonotablelossofpowerincrosssectionalsteppedwedgeclusterrandomisedtrialswithacontinuousoutcome
AT smithkarenl animbalanceinclustersizesdoesnotleadtonotablelossofpowerincrosssectionalsteppedwedgeclusterrandomisedtrialswithacontinuousoutcome
AT graylauraj animbalanceinclustersizesdoesnotleadtonotablelossofpowerincrosssectionalsteppedwedgeclusterrandomisedtrialswithacontinuousoutcome
AT kristunascarolinea imbalanceinclustersizesdoesnotleadtonotablelossofpowerincrosssectionalsteppedwedgeclusterrandomisedtrialswithacontinuousoutcome
AT smithkarenl imbalanceinclustersizesdoesnotleadtonotablelossofpowerincrosssectionalsteppedwedgeclusterrandomisedtrialswithacontinuousoutcome
AT graylauraj imbalanceinclustersizesdoesnotleadtonotablelossofpowerincrosssectionalsteppedwedgeclusterrandomisedtrialswithacontinuousoutcome