The content is available as a PDF (309.0 KB).
. 2021 Feb 22:kwab044. doi: 10.1093/aje/kwab044
Additional insights on the modelling of the COVID-19 clinical progression using multi-state methodology
Maja von Cube
1,✉, Martin Wolkewitz
1, Martin Schumacher
1, Derek Hazard
1
Maja von Cube
1
Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
Find articles by Maja von Cube
Martin Wolkewitz
1
Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
Find articles by Martin Wolkewitz
Martin Schumacher
1
Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
Find articles by Martin Schumacher
Derek Hazard
1
Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
Find articles by Derek Hazard
1
Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
✉
Corresponding to Dr. Maja von Cube, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Ernst-Zermelo-Str 1,79104 Freiburg, Germany (e-mail: cube@imbi.uni-freiburg.de)
Received 2021 Jan 29; Revised 2021 Feb 11; Accepted 2021 Feb 12.
© The Author(s) 2021. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
PMCID: PMC7929423 PMID: 33615352