Fig. 7

The effect of the number of nearest neighbours (parameter k) on utility loss and disclosure risk of non-stochastic anonymised data. A The dataset-specific utility loss as measured by the summary statistic U of propensity scores. B The variables-specific utility loss as measured by the Euclidean distance-based metric. C The analysis-specific information loss as measured by the standardised difference of regression model coefficients. D The robust Mahalanobis distance-based disclosure risks. Each point and error bar in the four panels indicates the mean plus minus one standard deviation of the metrics across 100 generated synthetic samples of 500 individual-level records each