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Results for “Multivariate statistics”

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At least 235 records · Page 13Linked to original sources
PubMed1987

[Classification of the peripubertal stage of ontogeny in girls: a multivariate statistical solution].

Using the cluster analysis of objects in the space of physique factors the objective classification of peripubertal stage of ontogenesis in girls has been constructed. The factors were obtained by factor analysis of 26 anthropometric traits from a joint sample of girls aged 7 to 17 years. Four age groups (7-9, 10-11, 12-13, 14-17 years) distinguished by the factors and by the informative criteria of physique in total have been picked out. The diagnostic ability of the linear discriminant functions constructed by the stepwise discriminant analysis averages 80.0%. This level is in the limits determined in resolving problems of classification by using the anthropometric traits.

Adolescent↗
PubMed1986

[Multivariate statistical analysis of tissue basophils in acute radiation sickness].

By means of mark scale estimation method, discriminant and factor analyses, changes in integral indices on the state of mast cells in the rat mesentery have been investigated in dynamics of medullary, intestinal and cerebral forms of an acute radiation sickness. The integral indices are calculated basing on the morphometric parameters of the cells, that are obtained after the histological preparations are treated in a special automatic system for analysing images. At the medullary form of the acute radiation sickness, the greatest structural rearrangements of the mast cells take place during the first hours after the radiation, as well as during the climax of the disease, at the intestinal form, the analogous changes are revealed 1-3 days after the effect, and at the cerebral form--3 h after the radiation. The integral indices, calculated by means of the three methods, are well correlated with each other.

Acute Disease↗
PubMed1985

Prognostic significance of clinical and laboratory parameters in liver cirrhosis. A multivariate statistical approach.

Successive clinical and laboratory data of 73 cirrhotics, who died during a follow-up period, were evaluated. The relationships between the actual survival time and 22 potentially prognostic variables were studied by means of the log-rank test and the likelihood ratio test. Seven variables (presence of ascites, hepatic encephalopathy and oesophageal varices; serum albumin, total bilirubin, gamma-globulin percentage and cholesterol) showed a strict correlation with survival time, and were included in a multiple regression model in order to compute the specific "prognostic weight" of each parameter. Results show that the parameters directly related to liver cell biosynthesis or indicating a structural liver damage should be considered more reliable for predicting theoretical survival in patients with liver cirrhosis.

Female↗