Determining a risk-proportionate approach to the validation of statistical programming for clinical trials

Gamble, C., Lewis, S., Stocken, D. et al. (4 more authors) (2024) Determining a risk-proportionate approach to the validation of statistical programming for clinical trials. Clinical Trials, 21 (1). pp. 85-94. ISSN 1740-7745

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Item Type: Article
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© 2023 The Author(s). 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).

Keywords: Risk-based approach; clinical trials; statistical programming; validation
Dates:
  • Published: February 2024
  • Published (online): 13 November 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Depositing User: Symplectic Sheffield
Date Deposited: 19 Jan 2024 12:47
Last Modified: 19 Feb 2024 13:15
Status: Published
Publisher: SAGE Publications
Refereed: Yes
Identification Number: 10.1177/17407745231204036
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