Journal
Aging
Publication Date
5-27-2025
Volume
17
Issue
5
First Page
1221
Last Page
1260
Document Type
Open Access Publication
DOI
10.18632/aging.206259
Rights and Permissions
Arbeev KG, Bagley O, Ukraintseva SV, Kulminski A, Stallard E, Schwaiger-Haber M, Patti GJ, Gu Y, Yashin AI, Province MA. Methods for joint modeling of longitudinal omics data and time-to-event outcomes: applications to lysophosphatidylcholines in connection to aging and mortality in the Long Life Family Study. Aging (Albany NY). 2025 May 27;17(5):1221-1260. doi: 10.18632/aging.206259. © 2025 Arbeev et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Recommended Citation
Arbeev, Konstantin G; Bagley, Olivia; Ukraintseva, Svetlana V; Kulminski, Alexander; Stallard, Eric; Schwaiger-Haber, Michaela; Patti, Gary J; Gu, Yian; Yashin, Anatoliy I; and Province, Michael A, "Methods for joint modeling of longitudinal omics data and time-to-event outcomes: Applications to lysophosphatidylcholines in connection to aging and mortality in the Long Life Family Study." Aging. 17, 5. 1221 - 1260. (2025).
https://digitalcommons.wustl.edu/oa_4/5092
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
