Correlation Analysis of Biomedical Data
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
In the correlation analysis of biomedical data, a common issue is the non-fulfilment of the assumption of normality. The main goal of the thesis is to provide a comprehensive theoretical background on correlation analysis, with a focus on quantitative variables that do not follow a normal distribution, and to apply the theoretical knowledge in the analysis of a real biomedical dataset. R-project was used for implementation.
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correlation analysis, assumption of normality, Pearson correlation coefficient, Spearman correlation coefficient, Kendall correlation coefficient, Box-Cox transformation, intracranial pressure