The Use of Double Poisson Regression for count data in Health and Life Science – a Narrative Review
Introduction: Count data such as days in hospital or sick days is present in many areas of everyday life [ref:1]. Unfortunately, such data often exhibits a right skew in the distribution, i.e. lower count values are more common than higher values. Moreover, they are often characterized by [for full text, please go to the a.m. URL]
Authors
- Thomas Ostermann (ORCID: https://orcid.org/0000-0003-2695-0701)
- Uwe Konerding (ORCID: https://orcid.org/0000-0002-6993-5977)
- Sebastian Appelbaum (ORCID: https://orcid.org/0000-0002-4674-2486)
- Julia Stronski
Institutions
- Witten/Herdecke University (DE)
- University of Bamberg (DE)
Publication Details
- Journal
- German Medical Science (German Research Foundation)
- Published
- 2026-04-01
- DOI
- https://doi.org/10.3205/25gmds206
- Primary Topic
- Statistical Methods and Bayesian Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00