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Small samples and increased variability – discussing the need for restricted types of randomization in exercise interventions in old age

BACKGROUND: Randomization provides an equal chance for participants to be allocated to intervention groups, in order to create an equal distribution of all variables at baseline in all groups. However, this is not guaranteed, particularly if the groups are too small, or if the researched groups cons...

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Autores principales: Netz, Yael, Lidor, Ronnie, Ziv, Gal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815362/
https://www.ncbi.nlm.nih.gov/pubmed/31673298
http://dx.doi.org/10.1186/s11556-019-0224-3
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author Netz, Yael
Lidor, Ronnie
Ziv, Gal
author_facet Netz, Yael
Lidor, Ronnie
Ziv, Gal
author_sort Netz, Yael
collection PubMed
description BACKGROUND: Randomization provides an equal chance for participants to be allocated to intervention groups, in order to create an equal distribution of all variables at baseline in all groups. However, this is not guaranteed, particularly if the groups are too small, or if the researched groups consist of older adults. The aims of this commentary are to discuss the increased variability in old age which intensifies the risk of baseline inequalities, to elaborate on the need to estimate potential baseline group differences in small samples of older participants in exercise intervention, to discuss alternative procedures for creating equal groups at baseline and to provide specific guidelines for selecting the design of small studies. MAIN BODY: Small groups with increased inter-individual differences may lead to reduced power, thus differences that truly exist may not be detected, or false group differences may appear in the outcome following the treatment. Studies that focused exclusively on older adults have found increased variability in advanced age. Therefore, baseline group differences are more common in older adults as compared to younger persons, and may lead to misinterpretation of the intervention′s results. Imbalances can be reduced by covariate-adaptive randomization procedures, such as stratified permuted-block randomization or minimization. Specific guidelines are provided for selecting a randomization procedure by assessing the probability of unequal groups at baseline in typical, widely used functional tests in old age. A calculation of the required number of participants for creating equal groups for these functional tests is provided, and can be used when increasing the number of participants is possible. R-scripts specifically created for assessing the probability of unequal groups, or for determining the sample size assuring equal groups, are recommended. CONCLUSIONS: In exercise interventions assessing older adults, it is recommended to have a sample large enough for creating equal groups. If this is not possible, as is the case quite often in intervention studies in old age, it is recommended to assess the probability of inequality in the study groups and to apply an alternative randomization.
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spelling pubmed-68153622019-10-31 Small samples and increased variability – discussing the need for restricted types of randomization in exercise interventions in old age Netz, Yael Lidor, Ronnie Ziv, Gal Eur Rev Aging Phys Act Commentary BACKGROUND: Randomization provides an equal chance for participants to be allocated to intervention groups, in order to create an equal distribution of all variables at baseline in all groups. However, this is not guaranteed, particularly if the groups are too small, or if the researched groups consist of older adults. The aims of this commentary are to discuss the increased variability in old age which intensifies the risk of baseline inequalities, to elaborate on the need to estimate potential baseline group differences in small samples of older participants in exercise intervention, to discuss alternative procedures for creating equal groups at baseline and to provide specific guidelines for selecting the design of small studies. MAIN BODY: Small groups with increased inter-individual differences may lead to reduced power, thus differences that truly exist may not be detected, or false group differences may appear in the outcome following the treatment. Studies that focused exclusively on older adults have found increased variability in advanced age. Therefore, baseline group differences are more common in older adults as compared to younger persons, and may lead to misinterpretation of the intervention′s results. Imbalances can be reduced by covariate-adaptive randomization procedures, such as stratified permuted-block randomization or minimization. Specific guidelines are provided for selecting a randomization procedure by assessing the probability of unequal groups at baseline in typical, widely used functional tests in old age. A calculation of the required number of participants for creating equal groups for these functional tests is provided, and can be used when increasing the number of participants is possible. R-scripts specifically created for assessing the probability of unequal groups, or for determining the sample size assuring equal groups, are recommended. CONCLUSIONS: In exercise interventions assessing older adults, it is recommended to have a sample large enough for creating equal groups. If this is not possible, as is the case quite often in intervention studies in old age, it is recommended to assess the probability of inequality in the study groups and to apply an alternative randomization. BioMed Central 2019-10-27 /pmc/articles/PMC6815362/ /pubmed/31673298 http://dx.doi.org/10.1186/s11556-019-0224-3 Text en © The Author(s) 2019 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 Commentary
Netz, Yael
Lidor, Ronnie
Ziv, Gal
Small samples and increased variability – discussing the need for restricted types of randomization in exercise interventions in old age
title Small samples and increased variability – discussing the need for restricted types of randomization in exercise interventions in old age
title_full Small samples and increased variability – discussing the need for restricted types of randomization in exercise interventions in old age
title_fullStr Small samples and increased variability – discussing the need for restricted types of randomization in exercise interventions in old age
title_full_unstemmed Small samples and increased variability – discussing the need for restricted types of randomization in exercise interventions in old age
title_short Small samples and increased variability – discussing the need for restricted types of randomization in exercise interventions in old age
title_sort small samples and increased variability – discussing the need for restricted types of randomization in exercise interventions in old age
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815362/
https://www.ncbi.nlm.nih.gov/pubmed/31673298
http://dx.doi.org/10.1186/s11556-019-0224-3
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