Sample size estimation for randomised controlled trials with repeated assessment of patient-reported outcomes : what correlation between baseline and follow-up outcomes should we assume?

Walters, S.J. orcid.org/0000-0001-9000-8126, Jacques, R.M. orcid.org/0000-0001-6710-5403, dos Anjos Henriques-Cadby, I.B. et al. (3 more authors) (2019) Sample size estimation for randomised controlled trials with repeated assessment of patient-reported outcomes : what correlation between baseline and follow-up outcomes should we assume? Trials, 20 (1). 566.

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Authors. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: ANCOVA; Correlations; Health Technology Assessment; Patient-reported outcome measures; Publicly funded; Randomised controlled trials; Review; Sample size estimation
Dates:
  • Accepted: 20 August 2019
  • Published (online): 13 September 2019
  • Published: 13 September 2019
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) > Sheffield Centre for Health and Related Research
Funding Information:
FunderGrant number
National Institute for Health ResearchNIHR-RMFI-2015-06-21
MEDICAL RESEARCH COUNCILMR/S020454/1
Depositing User: Symplectic Sheffield
Date Deposited: 14 Oct 2019 11:17
Last Modified: 16 Mar 2020 14:26
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1186/s13063-019-3671-2
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