This article is a correction to:
A new prognostic model for recurrent pregnancy loss: assessment of thyroid and thromboelastograph parameters
Fangxiang Mu
Huyan Huo
Chen Wang
Fang WangA corrigendum on
A new prognostic model for recurrent pregnancy loss: assessment of thyroid and thromboelastograph parameters
by Mu F, Huo H, Wang C, Hu N and Wang F (2024). Front. Endocrinol. 15:1415786. doi: 10.3389/fendo.2024.1415786
Error in Figure/Table
In the published article, there was an error in [Table 2 and Table 3] as published. [Table 2 and Table 3 are in the wrong order]. The corrected [Table 2 and Table 3] and its caption appear below.
Table 2
Table 2 Selecting predictive variables using LASSO and stepwise regression.
Table 3
Table 3 Multivariate logistic regression for the association between final predictors and subsequent pregnancy loss in RPL.
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.
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Keywords: recurrent pregnancy loss, thyroid function, thromboelastograph, nomogram, prediction model
Citation: Mu F, Huo H, Wang C, Hu N and Wang F (2024) Corrigendum: A new prognostic model for recurrent pregnancy loss: assessment of thyroid and thromboelastograph parameters. Front. Endocrinol. 15:1447049. doi: 10.3389/fendo.2024.1447049
Received: 11 June 2024; Accepted: 13 June 2024;
Published: 20 June 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Mu, Huo, Wang, Hu and Wang. 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: Fang Wang, ery_fwang@lzu.edu.cn