title: [Regression analysis in the assessment of the state of the immune system].
abstract: Optimal assessment of the immune status is one of the key problems in modern clinical immunology. Mathematical methods of diagnosis help select the minimal number of the most informative tests. Regression analysis of linear relationship permitted determining the regression coefficients and correlation pairs of equations which may be used for predicting, with few reference monoclonal sera (CD3 and CD5), the lacking cellular phenotype in immunogram. The resultant correlation pairs of equations were tried in a large number of examinees at laboratory of ecological immunology and are recommended for clinical diagnostical laboratories.
authors.forename: L S
authors.initials: LS
authors.lastname: Shchegoleva
authors.forename: L K
authors.initials: LK
authors.lastname: Dobrodeeva
authors.forename: L V
authors.initials: LV
authors.lastname: Poskotinova
authors.forename: E M
authors.initials: EM
authors.lastname: Diuzhikova
mesh_terms: D015703:Antigens, CD / Q000276:immunology*; D006801:Humans; D007107:Immune System / Q000502:physiology*; D007154:Immune System Diseases / Q000175:diagnosis* / Q000276:immunology; D018655:Lymphocyte Count; D010641:Phenotype; D012044:Regression Analysis; D016176:T-Lymphocyte Subsets / Q000276:immunology
chemical_list: D015703:Antigens, CD