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Employing multiple synchronous outcome samples per subject to improve study efficiency
BACKGROUND: Accuracy can be improved by taking multiple synchronous samples from each subject in a study to estimate the endpoint of interest if sample values are not highly correlated. If feasible, it is useful to assess the value of this cluster approach when planning studies. Multiple assessments...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520627/ https://www.ncbi.nlm.nih.gov/pubmed/34657591 http://dx.doi.org/10.1186/s12874-021-01414-7 |
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author | A’Hern, Roger P. |
author_facet | A’Hern, Roger P. |
author_sort | A’Hern, Roger P. |
collection | PubMed |
description | BACKGROUND: Accuracy can be improved by taking multiple synchronous samples from each subject in a study to estimate the endpoint of interest if sample values are not highly correlated. If feasible, it is useful to assess the value of this cluster approach when planning studies. Multiple assessments may be the only method to increase power to an acceptable level if the number of subjects is limited. METHODS: The main aim is to estimate the difference in outcome between groups of subjects by taking one or more synchronous primary outcome samples or measurements. A summary statistic from multiple samples per subject will typically have a lower sampling error. The number of subjects can be balanced against the number of synchronous samples to minimize the sampling error, subject to design constraints. This approach can include estimating the optimum number of samples given the cost per subject and the cost per sample. RESULTS: The accuracy improvement achieved by taking multiple samples depends on the intra-class correlation (ICC). The lower the ICC, the greater the benefit that can accrue. If the ICC is high, then a second sample will provide little additional information about the subject’s true value. If the ICC is very low, adding a sample can be equivalent to adding an extra subject. Benefits of multiple samples include the ability to reduce the number of subjects in a study and increase both the power and the available alpha. If, for example, the ICC is 35%, adding a second measurement can be equivalent to adding 48% more subjects to a single measurement study. CONCLUSION: A study’s design can sometimes be improved by taking multiple synchronous samples. It is useful to evaluate this strategy as an extension of a single sample design. An Excel workbook is provided to allow researchers to explore the most appropriate number of samples to take in a given setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01414-7. |
format | Online Article Text |
id | pubmed-8520627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85206272021-10-20 Employing multiple synchronous outcome samples per subject to improve study efficiency A’Hern, Roger P. BMC Med Res Methodol Software BACKGROUND: Accuracy can be improved by taking multiple synchronous samples from each subject in a study to estimate the endpoint of interest if sample values are not highly correlated. If feasible, it is useful to assess the value of this cluster approach when planning studies. Multiple assessments may be the only method to increase power to an acceptable level if the number of subjects is limited. METHODS: The main aim is to estimate the difference in outcome between groups of subjects by taking one or more synchronous primary outcome samples or measurements. A summary statistic from multiple samples per subject will typically have a lower sampling error. The number of subjects can be balanced against the number of synchronous samples to minimize the sampling error, subject to design constraints. This approach can include estimating the optimum number of samples given the cost per subject and the cost per sample. RESULTS: The accuracy improvement achieved by taking multiple samples depends on the intra-class correlation (ICC). The lower the ICC, the greater the benefit that can accrue. If the ICC is high, then a second sample will provide little additional information about the subject’s true value. If the ICC is very low, adding a sample can be equivalent to adding an extra subject. Benefits of multiple samples include the ability to reduce the number of subjects in a study and increase both the power and the available alpha. If, for example, the ICC is 35%, adding a second measurement can be equivalent to adding 48% more subjects to a single measurement study. CONCLUSION: A study’s design can sometimes be improved by taking multiple synchronous samples. It is useful to evaluate this strategy as an extension of a single sample design. An Excel workbook is provided to allow researchers to explore the most appropriate number of samples to take in a given setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01414-7. BioMed Central 2021-10-17 /pmc/articles/PMC8520627/ /pubmed/34657591 http://dx.doi.org/10.1186/s12874-021-01414-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software A’Hern, Roger P. Employing multiple synchronous outcome samples per subject to improve study efficiency |
title | Employing multiple synchronous outcome samples per subject to improve study efficiency |
title_full | Employing multiple synchronous outcome samples per subject to improve study efficiency |
title_fullStr | Employing multiple synchronous outcome samples per subject to improve study efficiency |
title_full_unstemmed | Employing multiple synchronous outcome samples per subject to improve study efficiency |
title_short | Employing multiple synchronous outcome samples per subject to improve study efficiency |
title_sort | employing multiple synchronous outcome samples per subject to improve study efficiency |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520627/ https://www.ncbi.nlm.nih.gov/pubmed/34657591 http://dx.doi.org/10.1186/s12874-021-01414-7 |
work_keys_str_mv | AT ahernrogerp employingmultiplesynchronousoutcomesamplespersubjecttoimprovestudyefficiency |