Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy.

Cao Z, Mozgunov P, Zheng H.

DOI: 10.1177/09622802261465336
Published: 2026-09-02
Container: Stat Methods Med Res
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1177/09622802261465336,
  title = {Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy.},
  author = {Cao Z and  Mozgunov P and  Zheng H.},
  year = {2026},
  journal = {Stat Methods Med Res},
  doi = {10.1177/09622802261465336},
  url = {https://doi.org/10.1177/09622802261465336}
}

RIS

TY  - JOUR
TI  - Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy.
AU  - Cao Z
AU  -  Mozgunov P
AU  -  Zheng H.
PY  - 2026
JO  - Stat Methods Med Res
DO  - 10.1177/09622802261465336
UR  - https://doi.org/10.1177/09622802261465336
ER  -

APA

Z, C., P, M., & H., Z. (2026). Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy.. Stat Methods Med Res. https://doi.org/10.1177/09622802261465336

Source records

europe-pmc · retrieved 2026-09-25T09:13:12.204Z