Joint modeling of longitudinal and time-to-event data for dynamic disease risk prediction using proteomics.

Lindén M, Ammunét T, Välikangas T, Elo LL, Suomi T

DOI: 10.1002/pro.70621
Published: 2026 Jun
Container: Protein science : a publication of the Protein Society
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/pro.70621,
  title = {Joint modeling of longitudinal and time-to-event data for dynamic disease risk prediction using proteomics.},
  author = {Lindén M and Ammunét T and Välikangas T and Elo LL and Suomi T},
  year = {2026},
  journal = {Protein science : a publication of the Protein Society},
  doi = {10.1002/pro.70621},
  url = {https://doi.org/10.1002/pro.70621}
}

RIS

TY  - JOUR
TI  - Joint modeling of longitudinal and time-to-event data for dynamic disease risk prediction using proteomics.
AU  - Lindén M
AU  - Ammunét T
AU  - Välikangas T
AU  - Elo LL
AU  - Suomi T
PY  - 2026
JO  - Protein science : a publication of the Protein Society
DO  - 10.1002/pro.70621
UR  - https://doi.org/10.1002/pro.70621
ER  -

APA

M, L., T, A., T, V., LL, E., & T, S. (2026). Joint modeling of longitudinal and time-to-event data for dynamic disease risk prediction using proteomics.. Protein science : a publication of the Protein Society. https://doi.org/10.1002/pro.70621

Source records

pubmed · retrieved 2026-09-25T20:14:06.765Z
europe-pmc · retrieved 2026-09-25T20:14:06.786Z