| Popis: |
Based on the serological monitoring results the humoral immunity level in birds was assessed after the use of three variants of inactivated vaccines against avian influenza, which causative agent is capable of genetic rearrangements and generation of extremely dangerous highly virulent forms. The refore there arise the need for accurate quantitative assessments of antibody titres, their benchmarking against threshold values and statistical analysis of the received results. The serological examinations allow obtaining the selections of antibody titres values, determining the arithmetic or geometric mean values, as well as statistical indicators such as standard deviations, coefficients of variation or standard error of the mean. to the parametric ones, since they are based on the given normal distribution of the elements of a selection. However, this condition is not always met, which leads to the incorrect conclusions, especially when conducting a comparative analysis. Alongside, it should be noted that banchmarking made in a group consisting of more than two selections cannot be made on independent pairs. In this case the special multi-comparative methods are required. The aim of this work was to conduct a comparative analysis of three antibody titres selections. The nonparametric multiple comparison Miller's method was applied, which is designed to detect the essentiality of mean trends differences in selections, regardless of the type of changing variables distribution. According to the method’s algorithm, the entire array of experimental data was integrated into a common rank-ordered (ranked) row, where each variable was assigned a serial number (rank). Respective with the original selections, the variables’ mean ranks were calculated. The mean ranks subtraction results and the necessary statistical operators were determined, which were benchmarked against the table values (the table is attached). Thus, the statistical significance of the discovered results of subtraction was drawn. The method did not require any special mathematical background of the researchers. |
