Reporting and communication of sample size calculations in adaptive clinical trials: a review of trial protocols and grant applications

Zhang, Q., Dimairo, M. orcid.org/0000-0002-9311-6920, Julious, S.A. et al. (2 more authors) (2024) Reporting and communication of sample size calculations in adaptive clinical trials: a review of trial protocols and grant applications. BMC Medical Research Methodology, 24 (1). 216. ISSN 1471-2288

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Item Type: Article
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© The Author(s) 2024. 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/.

Keywords: Adaptive design; Randomised controlled trial; Reporting; Sample size estimation; Transparency; Sample Size; Humans; Research Design; Randomized Controlled Trials as Topic; Adaptive Clinical Trials as Topic; Communication
Dates:
  • Published: 27 September 2024
  • Published (online): 27 September 2024
  • Accepted: 13 September 2024
  • Submitted: 19 February 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research
Depositing User: Symplectic Sheffield
Date Deposited: 30 Sep 2024 10:55
Last Modified: 30 Sep 2024 10:55
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1186/s12874-024-02339-7
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Open Archives Initiative ID (OAI ID):

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