Abstract
The paper deals with the methodology and results of statistical analysis of data obtained in the treatment of patients with psoriasis at the Dermatovenerological Clinic of Na Bulovce Hospital in 2015-17. The relatively large size of the data set (counting K = 485 standard clinical markers for N = 289 patients) requires the application of statistical procedures as if it were a bulk data processing.
The paper will present the logistics of this processing based on methodologies established in the past at the Department of Biostat at the 1st Medical Faculty of Charles University in Prague with a demonstration of the main results. When processing such a relatively large clinical data set, we can use established statistical methodologies (One-Way or Two-Way ANOVA for repeated measures or χ2-tests of independence in contingency tables), which, however, must be reduced to a few of the most effective classifications.
Based on them, we then analyze the output sets of statistically significant p-values for a number of simultaneous and derived marginal tests.