title: [Biostatistical models in experimental gerontology].
abstract: Morphometric measuring values present themselves in a definite distribution which changes in the ageing process. This change of distribution can be clarified by distribution analyses. Another task within the analysis of frequency distributions is the decomposition of mixed distributions, as they may appear in various parameters in the course of life. The linear regression analysis is, for instance, to be used in the verification of sexual divergencies in the process of ageing. An adaptation of non-linear exponential functions to series of measuring values serves, among others, to make evidence concerning the ageing rapidity of the tissues. When in gerontological inquiries at the same time many different characteristics are determined also the degree of their ageing dependency is of interest. This is to be established by means of a special transformation within the factor analysis. Finally the study shows instances for the application of contingency tables in qualitative characteristics and the investigation of their frequency in the process of ageing as well as for the use of the cluster analysis.
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000375:Aging; D001699:Biometry / Q000379:methods*; D002467:Cell Nucleus / Q000648:ultrastructure; D002648:Child; D002675:Child, Preschool; D003593:Cytoplasm / Q000648:ultrastructure; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008099:Liver / Q000166:cytology; D008297:Male; D008875:Middle Aged; D012737:Sex Factors
vernacular_title: Biostatistische Modelle in der experimentellen Gerontologie.