Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes and Clustering with Applications to Observational Health Data
Authors
School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley
Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow
Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow; Public Health and Intelligence Strategic Business Unit, NHS National Services Scotland, Glasgow
Department of Mathematics and Statistics, University of Strathclyde, Glasgow; Health Protection Scotland, NHS National Services Scotland, Glasgow
DOI: https://doi.org/10.5334/jors.356 | Journal eISSN: 2049-9647
Language: English
Submitted on: Oct 28, 2020
Accepted on: Nov 14, 2025
Published on: Nov 24, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2025 Raymond Carragher, Tanja Mueller, Marion Bennie, Chris Robertson, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.