The QaR methodology

QRisk applies the QaR (Quantile-at-Risk) methodology to estimate reidentification risk.

QaR examines all variable combinations of a given size and applies statistical extreme value theory on the riskiest of them. The method is based solely on the intrinsic characteristics of the dataset itself. It leverages the structure, distribution, and relationships between variables, making it highly flexible, independent of external sources of information, and suitable for broad application in different environments and data types.