Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations.

Janssen A, Bennis FC, Cnossen MH, Mathôt RAA, OPTI-CLOT study group SYMPHONY consortium

DOI: 10.1007/s10928-024-09931-w
Published: 2024 Dec
Container: Journal of pharmacokinetics and pharmacodynamics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s10928-024-09931-w,
  title = {Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations.},
  author = {Janssen A and Bennis FC and Cnossen MH and Mathôt RAA and OPTI-CLOT study group SYMPHONY consortium},
  year = {2024},
  journal = {Journal of pharmacokinetics and pharmacodynamics},
  doi = {10.1007/s10928-024-09931-w},
  url = {https://doi.org/10.1007/s10928-024-09931-w}
}

RIS

TY  - JOUR
TI  - Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations.
AU  - Janssen A
AU  - Bennis FC
AU  - Cnossen MH
AU  - Mathôt RAA
AU  - OPTI-CLOT study group SYMPHONY consortium
PY  - 2024
JO  - Journal of pharmacokinetics and pharmacodynamics
DO  - 10.1007/s10928-024-09931-w
UR  - https://doi.org/10.1007/s10928-024-09931-w
ER  -

APA

A, J., FC, B., MH, C., RAA, M., & consortium, O. S. G. S. (2024). Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations.. Journal of pharmacokinetics and pharmacodynamics. https://doi.org/10.1007/s10928-024-09931-w

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pubmed · retrieved 2026-11-10T11:40:35.908Z