Data dissemination and disclosure limitation in a world without microdata: a risk-utility framework for remote access analysis servers

DOI10.1214/088342305000000043zbMath1088.62142OpenAlexW2145709897MaRDI QIDQ819963

S. Gomatam, Jerome P. Reiter, Alan F. Karr, Ashish P. Sanil

Publication date: 4 April 2006

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/088342305000000043

zbMATH Keywords

disclosure riskdata utilitystatistical disclosure limitationregression serverremote access server

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Computing methodologies and applications (68U99) Applications of statistics (62P99)

Related Items (6)

Perturbed robust linear estimating equations for confidentiality protection in remote analysis ⋮ Multiple imputation for sharing precise geographies in public use data ⋮ Verification servers: enabling analysts to assess the quality of inferences from public use data ⋮ Masking methods that preserve positivity constraints in microdata ⋮ Data quality: a statistical perspective ⋮ Differentially Private Significance Tests for Regression Coefficients

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• Releasing Multiply Imputed, Synthetic Public use Microdata: An Illustration and Empirical Study
• Data-swapping: A technique for disclosure control
• Elements of statistical disclosure control
• Statistical disclosure control in practice
• Semidefinite optimization
• Exchangeability and Data Analysis
• SOFTWARE SYSTEMS FOR TABULAR DATA RELEASES
• Semidefinite Programming
• Categorical data regression diagnostics for remote access servers

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