A comparison of two different methods of Bayesian model averaging for assessing the effects of covariate measurement errors
The performance of both quasi-2DMC + BMA and marginal-quasi-2DMC + BMA methods is bad, with bias and poor coverage.
Authors
- Lydia B. Zablotska (ORCID: https://orcid.org/0000-0002-0778-1108)
- Mark P. Little (ORCID: https://orcid.org/0000-0003-0980-7567)
- Nobuyuki Hamada (ORCID: https://orcid.org/0000-0003-2518-6131)
Institutions
- Northwestern University (US)
- Oxford Brookes University (GB)
- Central Research Institute of Electric Power Industry (JP)
- University of California, San Francisco (US)
- Cancer Research And Biostatistics (US)
- National Cancer Institute (MY)
- National Cancer Institute (US)
Publication Details
- Journal
- International Journal of Radiation Biology
- Published
- 2025-09-02
- DOI
- https://doi.org/10.1080/09553002.2025.2544743
- Primary Topic
- Statistical Methods and Bayesian Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Instituto Nacional de Cancerología