On the Use of Random Effect Models for Radiation Biodosimetry

Einbeck, Jochen; Ainsbury, Elizabeth; Barnard, Stephen; Oliveira, Maria; Manning, Grainne; Puig, Pere; Badie, Christophe

Abstract

The application of random effect models to different radiation biomarkers, including cytogenetic, protein-based, and gene-expression based biomarkers, is discussed. Explicit case studies are provided for the latter two scenarios, in which random effect models appear especially attractive as they can cope well with the large inter-individual variation which is typical for these biomarkers.

Citation

Einbeck, J., Ainsbury, E., Barnard, S., Oliveira, M., Manning, G., Puig, P., & Badie, C. (2017). On the Use of Random Effect Models for Radiation Biodosimetry. In E. Ainsbury, M. Calle, E. Cardis, J. Einbeck, G. Gómez, & P. Puig (Eds.), Extended abstracts Fall 2015 : Biomedical Big Data ; Statistics for Low Dose Radiation Research (89-94). Springer Verlag. https://doi.org/10.1007/978-3-319-55639-0_15

• Online Publication Date: May 9, 2017
• Publication Date: May 9, 2017
• Deposit Date: May 16, 2017
• Publisher: Springer Verlag
• Pages: 89-94
• Series Title: Trends in mathematics
• Book Title: Extended abstracts Fall 2015 : Biomedical Big Data ; Statistics for Low Dose Radiation Research.
• ISBN: 9783319556383
• DOI: https://doi.org/10.1007/978-3-319-55639-0_15
• Public URL: https://durham-repository.worktribe.com/output/1668615
• Related Public URLs: https://www.researchgate.net/publication/316806783_On_the_Use_of_Random_Effect_Models_for_Radiation_Biodosimetry