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Conducting the non-inferiority test for the means with unknown coefficient of variation in a three-arm trial
BACKGROUND: The non-inferiority test is a reasonable approach to assessing a new treatment in a three-arm trial. The three-arm trial consists of a placebo, reference, and an experimental treatment. The non-inferiority is often measured by the mean differences between the experimental and the placebo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422811/ https://www.ncbi.nlm.nih.gov/pubmed/37568109 http://dx.doi.org/10.1186/s12874-023-01990-w |
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author | Lee, Meng-Chih Wu, Wei-Ya Lu, Hung-Yi Hsieh, Hsin-Neng Wu, Wei-Hwa |
author_facet | Lee, Meng-Chih Wu, Wei-Ya Lu, Hung-Yi Hsieh, Hsin-Neng Wu, Wei-Hwa |
author_sort | Lee, Meng-Chih |
collection | PubMed |
description | BACKGROUND: The non-inferiority test is a reasonable approach to assessing a new treatment in a three-arm trial. The three-arm trial consists of a placebo, reference, and an experimental treatment. The non-inferiority is often measured by the mean differences between the experimental and the placebo groups relative to the mean differences between the reference and the placebo groups. METHODS: To cope with possible estimation distortion due to the allowance of heteroskedasticity, we adjust the measurement of non-inferiority by the incorporation of coefficient of variation (CV) of the experimental, the reference and the placebo groups. In this research, we propose a generalized [Formula: see text] -value based method (GPV-based method) to facilitate non-inferiority tests for the means with unknown coefficient of variation in a three-arm trial. RESULTS: The simulation results show that the GPV-based method can not only adequately control type I error rate at nominal level better but also provide power higher than those from Delta method and the empirical bootstrap method, which verifies the feasibility of our adjustment. CONCLUSIONS: We revise the measurement of non-inferiority by deducting the CV of each kind of treatment from the average effect of trials. CVs are included in the non-inferiority explicitly to help prevent possible estimating distortion if heteroskedasticity is allowed. Through the simulation study, the performance of GPV-based method for facilitating non-inferiority tests for the means with unknown CV in a three-arm trial is better than those from empirical bootstrap method and Delta method for small, medium and large sample sizes. Hence, the GPV-based method is recommended to be used to conduct the non-inferiority test for the means with unknown CV in a three-arm trial. The GPV-based method still performs well in non-normality cases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01990-w. |
format | Online Article Text |
id | pubmed-10422811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104228112023-08-13 Conducting the non-inferiority test for the means with unknown coefficient of variation in a three-arm trial Lee, Meng-Chih Wu, Wei-Ya Lu, Hung-Yi Hsieh, Hsin-Neng Wu, Wei-Hwa BMC Med Res Methodol Research BACKGROUND: The non-inferiority test is a reasonable approach to assessing a new treatment in a three-arm trial. The three-arm trial consists of a placebo, reference, and an experimental treatment. The non-inferiority is often measured by the mean differences between the experimental and the placebo groups relative to the mean differences between the reference and the placebo groups. METHODS: To cope with possible estimation distortion due to the allowance of heteroskedasticity, we adjust the measurement of non-inferiority by the incorporation of coefficient of variation (CV) of the experimental, the reference and the placebo groups. In this research, we propose a generalized [Formula: see text] -value based method (GPV-based method) to facilitate non-inferiority tests for the means with unknown coefficient of variation in a three-arm trial. RESULTS: The simulation results show that the GPV-based method can not only adequately control type I error rate at nominal level better but also provide power higher than those from Delta method and the empirical bootstrap method, which verifies the feasibility of our adjustment. CONCLUSIONS: We revise the measurement of non-inferiority by deducting the CV of each kind of treatment from the average effect of trials. CVs are included in the non-inferiority explicitly to help prevent possible estimating distortion if heteroskedasticity is allowed. Through the simulation study, the performance of GPV-based method for facilitating non-inferiority tests for the means with unknown CV in a three-arm trial is better than those from empirical bootstrap method and Delta method for small, medium and large sample sizes. Hence, the GPV-based method is recommended to be used to conduct the non-inferiority test for the means with unknown CV in a three-arm trial. The GPV-based method still performs well in non-normality cases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01990-w. BioMed Central 2023-08-11 /pmc/articles/PMC10422811/ /pubmed/37568109 http://dx.doi.org/10.1186/s12874-023-01990-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Research Lee, Meng-Chih Wu, Wei-Ya Lu, Hung-Yi Hsieh, Hsin-Neng Wu, Wei-Hwa Conducting the non-inferiority test for the means with unknown coefficient of variation in a three-arm trial |
title | Conducting the non-inferiority test for the means with unknown coefficient of variation in a three-arm trial |
title_full | Conducting the non-inferiority test for the means with unknown coefficient of variation in a three-arm trial |
title_fullStr | Conducting the non-inferiority test for the means with unknown coefficient of variation in a three-arm trial |
title_full_unstemmed | Conducting the non-inferiority test for the means with unknown coefficient of variation in a three-arm trial |
title_short | Conducting the non-inferiority test for the means with unknown coefficient of variation in a three-arm trial |
title_sort | conducting the non-inferiority test for the means with unknown coefficient of variation in a three-arm trial |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422811/ https://www.ncbi.nlm.nih.gov/pubmed/37568109 http://dx.doi.org/10.1186/s12874-023-01990-w |
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