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Activity Number:
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588
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 6, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Government Statistics
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| Abstract - #303575 |
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Title:
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Improving the Usefulness of Synthetic Data: Some Recent Advances
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Author(s):
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Jerome Reiter*+
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Companies:
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Duke University
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Address:
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Box 90251, 112A Old Chemistry Building, Durham, NC, 27708,
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Keywords:
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confidentiality ; disclosure ; multiple imputation ; synthetic
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Abstract:
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Many users of synthetic data, or any data altered to protect confidentiality, are understandably skeptical that analyses done on synthetic data will yield reasonable results. In this talk, I present recent research on methods to improve the analytic validity of synthetic data. Specifically, I talk about nonparametric methods of data synthesis that have the potential to capture complex distributional relationships, and about methods for providing automated feedback to users about the quality of their synthetic data inferences.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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