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

MLA

Janssen, Alexander, et al. “Mixed Effect Estimation in Deep Compartment Models: Variational Methods Outperform First-Order Approximations.” Journal of Pharmacokinetics & Pharmacodynamics, vol. 51, no. 6, Dec. 2024, pp. 797–808. EBSCOhost, https://doi.org/10.1007/s10928-024-09931-w.

APA

Janssen, A., Bennis, F. C., Cnossen, M. H., Mathôt, R. A. A., Reitsma, S. H., Leebeek, F. W. G., Coppens, M., Fijnvandraat, K., Meijer, K., Schols, S. E. M., Eikenboom, H. C. J., Schutgens, R. E. G., Heubel-Moenen, F., Nieuwenhuizen, L., Ypma, P., Driessens, M. H. E., van Vliet, I., Kruip, M. J. H. A., Polinder, S., & Brons, P. (2024). Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations. Journal of Pharmacokinetics & Pharmacodynamics, 51(6), 797–808. https://doi.org/10.1007/s10928-024-09931-w

Chicago

Janssen, Alexander, Frank C. Bennis, Marjon H. Cnossen, Ron A. A. Mathôt, S. H. Reitsma, F. W. G. Leebeek, M. Coppens, et al. 2024. “Mixed Effect Estimation in Deep Compartment Models: Variational Methods Outperform First-Order Approximations.” Journal of Pharmacokinetics & Pharmacodynamics 51 (6): 797–808. doi:10.1007/s10928-024-09931-w.