Generating synthetic data to produce public-use microdata for small geographic areas based on complex sample survey data with application to the National Health Interview Survey

DOI10.1080/02664763.2014.909778zbMath1352.62019OpenAlexW2116788254MaRDI QIDQ2953274

Joseph W. Sakshaug, Trivellore E. Raghunathan

Publication date: 4 January 2017

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2014.909778

zbMATH Keywords

EM algorithmmultiple imputationhierarchical Bayesian modelsynthetic datacomplex sample survey datasmall area inference

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (1)

Simultaneous edit-imputation and disclosure limitation for business establishment data

Cites Work

• Releasing Multiply Imputed, Synthetic Public use Microdata: An Illustration and Empirical Study
• The Multiple Adaptations of Multiple Imputation
• The central role of the propensity score in observational studies for causal effects

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