This article is a correction to:
Shared Physiologic Pathways Among Comorbidities for Adults With Cerebral Palsy
Daniel G. Whitney
Mary Schmidt1
Edward A. Hurvitz- 1Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, United States
- 2Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States
A Corrigendum on
Shared Physiologic Pathways Among Comorbidities for Adults With Cerebral Palsy
by Whitney, D. G., Schmidt, M., and Hurvitz, E. A. (2021). Front. Neurol. 12:742179. doi: 10.3389/fneur.2021.742179
In the original article, there was an error in the reporting of one of the statistical approaches in the Methods section. The original reporting stated that the principal component analysis model used a tetrachoric correlation matrix, but the model did not use this matrix. Specifically, the error was in the section Methods, Statistical Analysis, Paragraph 1, which stated: “The PCA models used a tetrachoric correlation matrix due to the dichotomous nature of the variables, and a varimax rotation was used to facilitate interpretation of the loading factors.”
A correction has been made to Methods, Statistical Analysis, Paragraph 1. The corrected paragraph is shown below.
PCA is a multivariable data reduction technique that operates in a highly correlated environment to identify inter-correlated variables. In the context of multimorbidity, PCA allows for meaningful analysis and interpretation of comorbidity data by reducing the number of comorbidities into a few inter-correlated combinations. Each comorbidity combination corresponds to a specific principal component (PC) (21, 22), which is independent of other PCs. To derive the PCs, the models included each of the WCI comorbidities (25 for the entire group; 23 for the subgroups). The PCA models used a varimax rotation to facilitate interpretation of the loading factors. Loading factors are derived from the correlation matrix and provides a numerical interpretation of the PCs. Comorbidities with a loading factor of ≥|0.40| were included for interpretation, which has been suggested previously (23). PCs with eigenvalues of ≥1.00 were retained and analyzed, as this is common practice for PCA (24).
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: cerebral palsy, comorbidities, mortality, multimorbidity, clinical epidemiology
Citation: Whitney DG, Schmidt M and Hurvitz EA (2022) Corrigendum: Shared Physiologic Pathways Among Comorbidities for Adults With Cerebral Palsy. Front. Neurol. 12:830052. doi: 10.3389/fneur.2021.830052
Received: 06 December 2021; Accepted: 16 December 2021;
Published: 18 January 2022.
Edited and reviewed by: Elisabet Rodby-Bousquet, Lund University, Sweden
Copyright © 2022 Whitney, Schmidt and Hurvitz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Daniel G. Whitney, ZGd3aGl0JiN4MDAwNDA7dW1pY2guZWR1