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Combining factorial and multi-arm multi-stage platform designs to evaluate multiple interventions efficiently

BACKGROUND: Factorial designs and multi-arm multi-stage (MAMS) platform designs have many advantages, but the practical advantages and disadvantages of combining the two designs have not been explored. METHODS: We propose practical methods for a combined design within the platform trial paradigm whe...

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Autores principales: White, Ian R, Choodari-Oskooei, Babak, Sydes, Matthew R, Kahan, Brennan C, McCabe, Leanne, Turkova, Anna, Esmail, Hanif, Gibb, Diana M, Ford, Deborah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373200/
https://www.ncbi.nlm.nih.gov/pubmed/35579066
http://dx.doi.org/10.1177/17407745221093577
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author White, Ian R
Choodari-Oskooei, Babak
Sydes, Matthew R
Kahan, Brennan C
McCabe, Leanne
Turkova, Anna
Esmail, Hanif
Gibb, Diana M
Ford, Deborah
author_facet White, Ian R
Choodari-Oskooei, Babak
Sydes, Matthew R
Kahan, Brennan C
McCabe, Leanne
Turkova, Anna
Esmail, Hanif
Gibb, Diana M
Ford, Deborah
author_sort White, Ian R
collection PubMed
description BACKGROUND: Factorial designs and multi-arm multi-stage (MAMS) platform designs have many advantages, but the practical advantages and disadvantages of combining the two designs have not been explored. METHODS: We propose practical methods for a combined design within the platform trial paradigm where some interventions are not expected to interact and could be given together. RESULTS: We describe the combined design and suggest diagrams that can be used to represent it. Many properties are common both to standard factorial designs, including the need to consider interactions between interventions and the impact of intervention efficacy on power of other comparisons, and to standard multi-arm multi-stage designs, including the need to pre-specify procedures for starting and stopping intervention comparisons. We also identify some specific features of the factorial-MAMS design: timing of interim and final analyses should be determined by calendar time or total observed events; some non-factorial modifications may be useful; eligibility criteria should be broad enough to include any patient eligible for any part of the randomisation; stratified randomisation may conveniently be performed sequentially; and analysis requires special care to use only concurrent controls. CONCLUSION: A combined factorial-MAMS design can combine the efficiencies of factorial trials and multi-arm multi-stage platform trials. It allows us to address multiple research questions under one protocol and to test multiple new treatment options, which is particularly important when facing a new emergent infection such as COVID-19.
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spelling pubmed-93732002022-08-13 Combining factorial and multi-arm multi-stage platform designs to evaluate multiple interventions efficiently White, Ian R Choodari-Oskooei, Babak Sydes, Matthew R Kahan, Brennan C McCabe, Leanne Turkova, Anna Esmail, Hanif Gibb, Diana M Ford, Deborah Clin Trials Articles BACKGROUND: Factorial designs and multi-arm multi-stage (MAMS) platform designs have many advantages, but the practical advantages and disadvantages of combining the two designs have not been explored. METHODS: We propose practical methods for a combined design within the platform trial paradigm where some interventions are not expected to interact and could be given together. RESULTS: We describe the combined design and suggest diagrams that can be used to represent it. Many properties are common both to standard factorial designs, including the need to consider interactions between interventions and the impact of intervention efficacy on power of other comparisons, and to standard multi-arm multi-stage designs, including the need to pre-specify procedures for starting and stopping intervention comparisons. We also identify some specific features of the factorial-MAMS design: timing of interim and final analyses should be determined by calendar time or total observed events; some non-factorial modifications may be useful; eligibility criteria should be broad enough to include any patient eligible for any part of the randomisation; stratified randomisation may conveniently be performed sequentially; and analysis requires special care to use only concurrent controls. CONCLUSION: A combined factorial-MAMS design can combine the efficiencies of factorial trials and multi-arm multi-stage platform trials. It allows us to address multiple research questions under one protocol and to test multiple new treatment options, which is particularly important when facing a new emergent infection such as COVID-19. SAGE Publications 2022-05-17 2022-08 /pmc/articles/PMC9373200/ /pubmed/35579066 http://dx.doi.org/10.1177/17407745221093577 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Articles
White, Ian R
Choodari-Oskooei, Babak
Sydes, Matthew R
Kahan, Brennan C
McCabe, Leanne
Turkova, Anna
Esmail, Hanif
Gibb, Diana M
Ford, Deborah
Combining factorial and multi-arm multi-stage platform designs to evaluate multiple interventions efficiently
title Combining factorial and multi-arm multi-stage platform designs to evaluate multiple interventions efficiently
title_full Combining factorial and multi-arm multi-stage platform designs to evaluate multiple interventions efficiently
title_fullStr Combining factorial and multi-arm multi-stage platform designs to evaluate multiple interventions efficiently
title_full_unstemmed Combining factorial and multi-arm multi-stage platform designs to evaluate multiple interventions efficiently
title_short Combining factorial and multi-arm multi-stage platform designs to evaluate multiple interventions efficiently
title_sort combining factorial and multi-arm multi-stage platform designs to evaluate multiple interventions efficiently
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373200/
https://www.ncbi.nlm.nih.gov/pubmed/35579066
http://dx.doi.org/10.1177/17407745221093577
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