Analyzing the distribution of progression-free survival for combination therapies: A study of model-based translational predictive methods in oncology

Marcus Baaz, Tim Cardilin, Mats Jirstrand

Open source

DOI: 10.1016/j.ejps.2024.106901
Published: 2024-12
Container: European Journal of Pharmaceutical Sciences
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.ejps.2024.106901,
  title = {Analyzing the distribution of progression-free survival for combination therapies: A study of model-based translational predictive methods in oncology},
  author = {Marcus Baaz and Tim Cardilin and Mats Jirstrand},
  year = {2024},
  journal = {European Journal of Pharmaceutical Sciences},
  doi = {10.1016/j.ejps.2024.106901},
  url = {https://doi.org/10.1016/j.ejps.2024.106901}
}

RIS

TY  - JOUR
TI  - Analyzing the distribution of progression-free survival for combination therapies: A study of model-based translational predictive methods in oncology
AU  - Marcus Baaz
AU  - Tim Cardilin
AU  - Mats Jirstrand
PY  - 2024
JO  - European Journal of Pharmaceutical Sciences
DO  - 10.1016/j.ejps.2024.106901
UR  - https://doi.org/10.1016/j.ejps.2024.106901
ER  -

APA

Baaz, M., Cardilin, T., & Jirstrand, M. (2024). Analyzing the distribution of progression-free survival for combination therapies: A study of model-based translational predictive methods in oncology. European Journal of Pharmaceutical Sciences. https://doi.org/10.1016/j.ejps.2024.106901

Source records

crossref · retrieved 2026-09-27T03:15:13.043Z