Development of a Bayesian Hierarchical Model for Medical Resource-Limited Settings: Prediction of Treatment Efficacy in Breast Cancer Patients in Kenya
The enhanced Bayesian hierarchical model (M₃) integrates complex patient-tumor interactions with institutional variation, delivering well-calibrated, robust, and clinically interpretable predictions of pCR. In resource-limited settings, such models can guide targeted treatment allocation, reduce outcome disparities, and optimize the use of scarce oncology resources.
Authors
- Edna Mensah
- Richard Simwa (ORCID: https://orcid.org/0000-0002-2136-1433)
- Sufyan Ibrahim (ORCID: https://orcid.org/0000-0001-9127-2738)
- Mahmoud Hani
- Morris A Simwa
- Nelson Muhati
- Ahmed Alsobhi
Institutions
- Aberdeen Royal Infirmary (GB)
- University Hospital Southampton NHS Foundation Trust (GB)
- Kibabii University (KE)
- Daystar University (KE)
Publication Details
- Journal
- Cureus
- Published
- 2025-11-22
- DOI
- https://doi.org/10.7759/cureus.97489
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Commission for Science, Technology and Innovation