The design and analysis of vaccine trials for COVID-19 for the purpose of estimating efficacy

Senn, S. (2022) The design and analysis of vaccine trials for COVID-19 for the purpose of estimating efficacy. Pharmaceutical Statistics, 21 (4). pp. 790-807. ISSN 1539-1604

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Senn, S.
Copyright, Publisher and Additional Information:

© 2022 The Author. Pharmaceutical Statistics published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Keywords: Bayesian; conditional inference; design of experiments; frequentist; sequential design; vaccine efficacy
Dates:
  • Published: July 2022
  • Published (online): 12 July 2022
  • Accepted: 1 April 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 19 Jul 2022 09:35
Last Modified: 19 Jul 2022 09:35
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1002/pst.2226
Related URLs:
Open Archives Initiative ID (OAI ID):

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