The impact of bias due to exponentiation in the estimation of hazard, risk, and odds ratios: an empirical investigation from 1,495,059 effect sizes from MEDLINE/PubMed abstracts
Given the wide availability of methods to reduce the bias on the scale of regression, we encourage their routine use to improve estimation. In situations where the consequences of biased estimation are larger at the exponentiated scale than at the scale of regression, as for example in some policy and planning settings, we additionally encourage the removal of the bias due to the exponentiation.
Authors
- Ioannis Kosmidis (ORCID: https://orcid.org/0000-0003-1556-0302)
- Rok Blagus (ORCID: https://orcid.org/0000-0001-7200-894X)
- Georg Heinze (ORCID: https://orcid.org/0000-0003-1147-8491)
- Andrej Kastrin (ORCID: https://orcid.org/0000-0002-3495-0165)
- Tina Košuta
Institutions
- Statistics Austria (AT)
- University of Ljubljana (SI)
- University of Warwick (GB)
- Institute for Medical Informatics and Biostatistics (CH)
- Medical University of Vienna (AT)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1186/s12874-025-02573-7
- Citations
- 1
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- Javna Agencija za Raziskovalno Dejavnost RS