Latent class regression improves the predictive acuity and clinical utility of survival prognostication amongst chronic heart failure patients

Mbotwa, JL, Kamps, MD orcid.org/0000-0001-7162-4425, Baxter, PD orcid.org/0000-0003-2699-3103 et al. (2 more authors) (2021) Latent class regression improves the predictive acuity and clinical utility of survival prognostication amongst chronic heart failure patients. PloS one, 16 (5). e0243674. ISSN 1932-6203

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Copyright, Publisher and Additional Information: © 2021 Mbotwa et al. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Accepted: 25 February 2021
  • Published (online): 7 May 2021
  • Published: 7 May 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Specialist Science Education Dept (Leeds)
Funding Information:
FunderGrant number
Alan Turing InstituteNo ref given
Depositing User: Symplectic Publications
Date Deposited: 20 May 2021 12:21
Last Modified: 20 May 2021 12:21
Status: Published
Publisher: Public Library of Science
Identification Number: https://doi.org/10.1371/journal.pone.0243674
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