Assessing Identification Risk in Survey Microdata Using Log-Linear Models
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Publication:132032
DOI10.1198/016214507000001328zbMath1205.62220OpenAlexW2036584386MaRDI QIDQ132032
Chris Skinner, Natalie Shlomo, Natalie Shlomo, C. J. Skinner
Publication date: September 2008
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://eprints.lse.ac.uk/39112/
Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05) Applications of statistics (62P99)
Related Items (11)
Assessing the protection provided by misclassification-based disclosure limitation methods for survey microdata ⋮ Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation ⋮ Data confidentiality: a review of methods for statistical disclosure limitation and methods for assessing privacy ⋮ Unnamed Item ⋮ An information theoretic approach to post randomization methods under differential privacy ⋮ Estimating frequencies of frequencies in finite populations ⋮ Estimating Identification Disclosure Risk Using Mixed Membership Models ⋮ SDCNway ⋮ Optimal disclosure risk assessment ⋮ Bayesian nonparametric disclosure risk assessment ⋮ Bayesian nonparametric disclosure risk estimation via mixed effects log-linear models
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