© 2017, Springer International Publishing AG. 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.
|Title of host publication||Trends in Mathematics|
|Number of pages||5|
|Publication status||Published - 1 Jan 2017|