Journal
Nature Communications
Publication Date
3-30-2022
Volume
13
Issue
1
First Page
1678
Document Type
Open Access Publication
DOI
10.1038/s41467-022-29160-4
Rights and Permissions
Luo, C., Islam, M.N., Sheils, N.E. et al. DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models. Nat Commun 13, 1678 (2022). doi.org/10.1038/s41467-022-29160-4 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Recommended Citation
Luo, Chongliang and et al, "DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models." Nature Communications. 13, 1. 1678 (2022).
https://digitalcommons.wustl.edu/open_access_pubs/11714
Supplementary Information
41467_2022_29160_MOESM2_ESM.pdf (314 kB)
Reporting Summary
41467_2022_29160_MOESM3_ESM.pdf (5361 kB)
Peer Review File