Ecological Systems and Devices Annotation << Back STATISTICAL MODELS FOR EVALUATING RADIATION EXPOSURE TO BIOLOGICAL SYSTEMS A.N. Varaksin, L.N. Rasina In order to systematize and generalize the statistical models used to assess the radiation exposure to biological systems, an analysis of the mathematical methods used to analyze the oxidative metabolism data of pygmy wood mouse (Apodemus uralensis Pall.) of the East Ural Radioactive Trace (EURT) zone is carried out. Mathematical methods of analysis are grouped into three classes. The first class includes methods for accounting for confounders, where the most correct methods are standardization by data stratification and typological regression. The second class covers methods for assessing changes in the relationships between indicators under the influence of radiation, which is shown by the methods of correlation pleiades and typological regression. The third class includes methods for creating a multifactorial generalized image of organisms living in the control (background, clean) and radioactively contaminated territories, one of the methods of construction of which is shown by an example of the Fisher’s linear function method (discriminant analysis). Keywords: statistical methods for analysis of radiation exposure; weighted mean; standardization by stratifi cation; typological regression; correlation pleiades; discriminant analysis; East Ural Radioactive Trace; pygmy wood mouse. DOI: 10.25791/esip.09.2020.1176 Pp. 03-14.