Analysis of suitability of five statistical methods applied for the validation of a Monte Carlo x-ray based software packages

Goal of this study is to compare five statistical algorithms used for evaluation of software packages based on Monte Carlo techniques. These meth-ods are the following analysis: regression, correlation and Bland Altman as well as Wilcoxon rank sum and Kolmogorov-Smirnov tests. The methods were ap-plied for the case study of validating a dedicated computer code for calculation of scattered radiation reaching the eyes of the operator during interventional pro-cedures. The transport of x-rays and their interactions with the matter have been accomplished by the use of Monte Carlo techniques. Results were presented in the form of number of registered photons as a function of their energy and further compared to data from literature. From the five statistical methods for compari-son, the most suitable for our application turns out to be the Bland-Altman method. Further effort is related to the development of a specific software appli-cation for evaluation of data generated from general purpose x-ray simulations, as well as with analysis of more data obtained from different incident x-ray spec-tra.