Group-membership recognition methods based on confidence boundaries and their testing in clinical oncology

Confidence intervals are constructed for an unknown correlation coefficient and mathematical expectation using 3s 1 and 2s 1 rules. The intervals make it possible to solve the problem of statistical analysis of the dependence between different random variables. The results obtained are used to analyze the correlation between the content of homocysteine and various clinical indices.