Group-membership recognition methods based on confidence boundaries and their testing in clinical oncology
Cybernetics and Systems Analysis（2009）
Abstract
Confidence intervals are constructed for an unknown correlation coefficient and mathematical expectation using 3 s 1 and 2 s 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.
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Key words
linear regression method,confidence interval for mathematical expectation,confidence interval for a correlation coefficient,homocysteine,breast cancer
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