Confidentialising Microdata Using Multiple Imputation: Development and Evaluation of a Non-parametric Hierarchical Bayesian Imputation Model for Numerical Data
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[1] D. Rubin. The Bayesian Bootstrap , 1981 .
[2] J. Sethuraman. A CONSTRUCTIVE DEFINITION OF DIRICHLET PRIORS , 1991 .
[3] M. Escobar. Estimating Normal Means with a Dirichlet Process Prior , 1994 .
[4] Fernando A. Quintana,et al. Nonparametric Bayesian data analysis , 2004 .
[5] Purushottam W. Laud,et al. Bayesian Nonparametric Inference for Random Distributions and Related Functions , 1999 .
[6] D. Rubin,et al. Multiple Imputation for Nonresponse in Surveys , 1989 .
[7] D. Rubin. Multiple imputation for nonresponse in surveys , 1989 .
[8] Xiao-Li Meng,et al. Multiple-Imputation Inferences with Uncongenial Sources of Input , 1994 .
[9] Jerry Nedelman,et al. Book review: “Bayesian Data Analysis,” Second Edition by A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin Chapman & Hall/CRC, 2004 , 2005, Comput. Stat..
[10] D J Spiegelhalter,et al. Flexible random‐effects models using Bayesian semi‐parametric models: applications to institutional comparisons , 2007, Statistics in medicine.
[11] Jerome P. Reiter,et al. Estimating Risks of Identification Disclosure in Partially Synthetic Data , 2009, J. Priv. Confidentiality.
[12] Jörg Drechsler,et al. Comparing Fully and Partially Synthetic Datasets for Statistical Disclosure Control in the German IAB Establishment Panel , 2008, Trans. Data Priv..
[13] P. Graham,et al. Multiply imputed synthetic data: evaluation of Hierarchical Bayesian imputation models , 2009 .
[14] Jerome P. Reiter,et al. Satisfying Disclosure Restrictions With Synthetic Data Sets , 2002 .
[15] S. Greenland. Dose‐Response and Trend Analysis in Epidemiology: Alternatives to Categorical Analysis , 1995, Epidemiology.
[16] R. Sarathy,et al. A comparison of multiple imputation and data perturbation for masking numerical variables , 2006 .
[17] Stephen E. Fienberg,et al. Disclosure limitation using perturbation and related methods for categorical data , 1998 .
[18] J. Albert. Computational methods using a Bayesian hierarchical generalized linear model , 1988 .
[19] P. Graham. HIERARCHICAL BAYESIAN MODELLING OF SOCIAL VARIATION IN THE AGE DEPENDENCE OF DISABILITY PREVALENCE , 2005 .
[20] D. Hyslop. Does Benefit Receipt Affect Future Income? An Econometric Explanation , 2000 .
[21] D. Lindley,et al. Bayes Estimates for the Linear Model , 1972 .
[22] C. Morris,et al. Inference for multivariate normal hierarchical models , 2000 .
[23] C. Morris,et al. Hierarchical Poisson Regression Modeling , 1997 .
[24] Anna Oganian,et al. A Framework for Evaluating the Utility of Data Altered to Protect Confidentiality , 2006 .
[25] C. Morris. Parametric Empirical Bayes Inference: Theory and Applications , 1983 .
[26] S. Maani. Secondary and Tertiary Education Attainment and Income Levels for Maori and Non-Maori Over Time , 2000 .
[27] Simon D. Woodcock,et al. Disclosure Limitation in Longitudinal Linked Data , 2002 .
[28] D. Blackwell,et al. Ferguson Distributions Via Polya Urn Schemes , 1973 .
[29] Education and Maori Relative Income Levels over Time: The Mediating Effect of Occupation, Industry, Hours of Work and Locality , 2002 .
[30] James J. Heckman,et al. Empirical Evidence on the Functional Form of the Earnings-Schooling Relationship , 1974 .
[31] A. Kennickell. Multiple Imputation and Disclosure Protection : TheCase of the 1995 Survey of Consumer Finances , 2000 .
[32] M. Daniels. A prior for the variance in hierarchical models , 1999 .
[33] Jerome P. Reiter,et al. Releasing multiply imputed, synthetic public use microdata: an illustration and empirical study , 2005 .
[34] Albert Y. Lo,et al. A Bayesian bootstrap for a finite population , 1988 .
[35] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[36] Lancelot F. James,et al. Gibbs Sampling Methods for Stick-Breaking Priors , 2001 .
[37] Julia Lane,et al. Optimizing the Use of Micro-Data: An Overview of the Issues , 2005 .
[38] Jerome P. Reiter,et al. Multiple Imputation for Statistical Disclosure Limitation , 2003 .
[39] Richard Penny,et al. Multiply Imputed Synthetic Data Files , 2007 .
[40] Andrew Gelman,et al. Let's Practice What We Preach , 2002 .