Nature Communications (Mar 2022)
DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models
- Chongliang Luo,
- Md. Nazmul Islam,
- Natalie E. Sheils,
- John Buresh,
- Jenna Reps,
- Martijn J. Schuemie,
- Patrick B. Ryan,
- Mackenzie Edmondson,
- Rui Duan,
- Jiayi Tong,
- Arielle Marks-Anglin,
- Jiang Bian,
- Zhaoyi Chen,
- Talita Duarte-Salles,
- Sergio Fernández-Bertolín,
- Thomas Falconer,
- Chungsoo Kim,
- Rae Woong Park,
- Stephen R. Pfohl,
- Nigam H. Shah,
- Andrew E. Williams,
- Hua Xu,
- Yujia Zhou,
- Ebbing Lautenbach,
- Jalpa A. Doshi,
- Rachel M. Werner,
- David A. Asch,
- Yong Chen
Affiliations
- Chongliang Luo
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
- Md. Nazmul Islam
- Optum Labs
- Natalie E. Sheils
- Optum Labs
- John Buresh
- Optum Labs
- Jenna Reps
- Janssen Research and Development LLC
- Martijn J. Schuemie
- Janssen Research and Development LLC
- Patrick B. Ryan
- Janssen Research and Development LLC
- Mackenzie Edmondson
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
- Rui Duan
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
- Jiayi Tong
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
- Arielle Marks-Anglin
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
- Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida
- Zhaoyi Chen
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida
- Talita Duarte-Salles
- Fundacio Institut Universitari per a la recerca a l’Atencio Primaria de Salut Jordi Gol i Gurina (IDIAPJGol)
- Sergio Fernández-Bertolín
- Fundacio Institut Universitari per a la recerca a l’Atencio Primaria de Salut Jordi Gol i Gurina (IDIAPJGol)
- Thomas Falconer
- Department of Biomedical Informatics, Columbia University
- Chungsoo Kim
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine
- Rae Woong Park
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine
- Stephen R. Pfohl
- Stanford Center for Biomedical Informatics Research
- Nigam H. Shah
- Stanford Center for Biomedical Informatics Research
- Andrew E. Williams
- Institute for Clinical Research and Health Policy Studies, Tufts University School of Medicine
- Hua Xu
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston
- Yujia Zhou
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston
- Ebbing Lautenbach
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
- Jalpa A. Doshi
- Division of General Internal Medicine, University of Pennsylvania
- Rachel M. Werner
- Division of General Internal Medicine, University of Pennsylvania
- David A. Asch
- Division of General Internal Medicine, University of Pennsylvania
- Yong Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
- DOI
- https://doi.org/10.1038/s41467-022-29160-4
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 10
Abstract
A lossless, one-shot and privacy-preserving distributed algorithm was revealed for fitting linear mixed models on multi-site data. The algorithm was applied to a study of 120,609 COVID-19 patients using only minimal aggregated data from each of 14 sites.
