Statistical Disclosure Control for Microdata

Focusing on statistical disclosure control, this book explores the theory and practical applications of traditional microdata anonymization techniques, including data perturbation, disclosure risk, and information loss. It introduces R packages sdcMicro and simPop, providing numerous examples, exercises with solutions, and case studies using real-world data. Readers can access the accompanying R code to replicate results, enhancing their understanding of data utility and synthetic data simulation.