Fractals As Triggers For Exploratory Statistical Analysis of Clinical Pharmacological Data

Proposed and tested an algorithm of using principl es of Cantor, von Koch sets for exploratory fractal s c inical pharmacological data analysis. The algorithm is bas ed on the grouping data, formation of categorical v ariabilities in the form of subgroups as iteration process as for receiving Can tor, von Koch sets. It boils down to: selection of informative numerical dependent variabilities; transformation these informative num erical dependent variabilities to new categorical v riabilities; formation categorical variabilities in the form of subgroups as a result of an iterative process as for Cantor, von Koch sets; statistical analysis of the data; determination of the distribution of vari abilities; transformations that may be normalize fr om non-normal data; ANOVA analysis of variance parametric data or nonparametr ic quivalent of ANOVA Kruskal-Wallis testing; fo rmulation of the conclusion. Our algorithm of using Cantor, von Koch sets princi ples for Exploratory Fractals Data Analysis of cli nical pharmacological data will help maximize insight, uncover underlying stru ct re, extract important variables, develop models and determine optimal factor settings.