Correction to "Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness," by Chen, C., Shen, B., Zhang, L., Xue, Y. and Wang, M.; 75(3), 950-965, 2019.

Abstract

BiometricsVolume 77, Issue 2 p. 779-779 ERRATUMFree Access Correction to “Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness,” by Chen, C., Shen, B., Zhang, L., Xue, Y. and Wang, M.; 75(3), 950–965, 2019 This article corrects the following: Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness Chixiang Chen, Biyi Shen, Lijun Zhang, Yuan Xue, Ming Wang, Volume 75Issue 3Biometrics pages: 950-965 First Published online: April 25, 2019 First published: 21 June 2021 https://doi.org/10.1111/biom.13496AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat The authors of ‘Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness’ would like to add missing grant information to the Acknowledgment section. The acknowledgment given was: Wang ’s research was partially supported by Grant UL1TR002014 and KL2 TR002015 from the National Center for Advancing Transnational Sciences (NCATS). The content is solely the responsibility of the authors and does not represent the official views of the National Institute of Health, the National Science Foundation, and other research sponsors. The updated Acknowledgment is: Wang's research was partially supported by Grant UL1TR002014 and KL2 TR002015 from the National Center for Advancing Transnational Sciences (NCATS). The content is solely the responsibility of the authors and does not represent the official views of the National Institute of Health, the National Science Foundation, and other research sponsors. This project is funded, in part, under a Grant with the Pennsylvania Department of Health. The Department specifically disclaims responsibility for any analyses, interpretations or conclusions. REFERENCE Chen, C., Shen, B., Zhang, L., Xue, Y. and Wang, M. (2019) Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness. Biometrics, 75(3), 950- 965. https://doi.org/10.1111/biom.13060Wiley Online LibraryPubMedWeb of Science®Google Scholar Volume77, Issue2June 2021Pages 779-779 ReferencesRelatedInformation