title: [The application of the multidimensional statistical methods in the evaluation of the influence of atmospheric pollution on the population's health].
abstract: The search and measurement of causal relationships between exposure to air pollution and health state of the population is based on the system analysis and risk assessment to improve the quality of research. With this purpose there is applied the modern statistical analysis with the use of criteria of independence, principal component analysis and discriminate function analysis. As a result of analysis out of all atmospheric pollutants there were separated four main components: for diseases of the circulatory system main principal component is implied with concentrations of suspended solids, nitrogen dioxide, carbon monoxide, hydrogen fluoride, for the respiratory diseases the main c principal component is closely associated with suspended solids, sulfur dioxide and nitrogen dioxide, charcoal black. The discriminant function was shown to be used as a measure of the level of air pollution.
authors: V D
authors: VD
authors: Surzhikov
authors: D V
authors: DV
authors: Surzhikov
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000393:Air Pollutants / Q000032:analysis / Q000633:toxicity*; D000397:Air Pollution / Q000009:adverse effects*; D003627:Data Interpretation, Statistical; D016002:Discriminant Analysis; D004781:Environmental Exposure / Q000009:adverse effects*; D004784:Environmental Monitoring / Q000379:methods*; D006304:Health Status; D006801:Humans; D008875:Middle Aged; D052638:Particulate Matter / Q000032:analysis / Q000633:toxicity; D025341:Principal Component Analysis / Q000379:methods; D012107:Research Design; D018570:Risk Assessment; D055815:Young Adult
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter