Estimating an individual's probability of revision surgery after knee replacement : a comparison of modeling approaches using a national dataset

Aram, P., Trela-Larsen, L., Sayers, A. et al. (5 more authors) (2018) Estimating an individual's probability of revision surgery after knee replacement : a comparison of modeling approaches using a national dataset. American Journal of Epidemiology, 187 (10). pp. 2252-2262. ISSN 0002-9262

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s) 2018. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. This is an Open Access a rticle distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the or iginal work is properly cited.
Keywords: Knee replacement; revision surgery; time-to-event analysis; random survival forest; flexible parametric survival model; parametric survival model; calibration; discrimination
Dates:
  • Accepted: 5 June 2018
  • Published (online): 11 June 2018
  • Published: 1 October 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
FunderGrant number
ARTHRITIS RESEARCH UK20894
Depositing User: Symplectic Sheffield
Date Deposited: 26 Jul 2018 11:38
Last Modified: 15 Jul 2020 10:07
Published Version: https://doi.org/10.1093/aje/kwy121
Status: Published
Publisher: Oxford University Press
Refereed: Yes
Identification Number: https://doi.org/10.1093/aje/kwy121
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