Application of Statistical Techniques to Interpret Immunity Test Results

Logistic Regression, a statistical analysis tool widely used in epidemiological studies, can be successfully exploited to interpret susceptibility test results with the twofold aim of understanding which are the most significant causes affecting the Device under Test (DUT) and of providing a technique to define a global figure of safety margin when many test parameters are involved. The background of Logistic Regression is briefly summarized and then a graphical interpretation of test results is provided. Finally, the experimental validation of the method is described.