Releasing multiply imputed, synthetic public use microdata: an illustration and empirical study
Releasing multiply imputed, synthetic public use microdata: an illustration and empirical study
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发布多重估算的综合公共使用微观数据：说明和实证研究
DOI：
10.1111/j.1467-985x.2004.00343.x
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Jerome P. Reiter
中科院分区：
文献类型：
--
作者：
Jerome P. Reiter
概括。 本文介绍了发布多重估算、完全合成的公共使用微观数据的说明和实证研究。基于美国当前人口调查数据的模拟用于评估基于各种描述性和分析性估计值的完全合成数据的推论的潜在有效性，评估完全合成数据提供的机密性保护程度，并说明合成数据插补模型的规范。讨论了发布完全合成数据集的好处和局限性。
Summary. The paper presents an illustration and empirical study of releasing multiply imputed, fully synthetic public use microdata. Simulations based on data from the US Current Population Survey are used to evaluate the potential validity of inferences based on fully synthetic data for a variety of descriptive and analytic estimands, to assess the degree of protection of confidentiality that is afforded by fully synthetic data and to illustrate the specification of synthetic data imputation models. Benefits and limitations of releasing fully synthetic data sets are discussed.