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Related Experiment Video

Updated: Sep 8, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Post-randomization for controlling identification risk in releasing microdata from general surveys.

Cheng Zhang1, Tapan K Nayak2,3

  • 1MedStar Cardiovascular Research Network, Washington, DC, USA.

Journal of Applied Statistics
|June 16, 2022
PubMed
Summary

Statistical agencies often perturb survey data for confidentiality. A new method to control identity disclosure risks in microdata may bias survey-weighted estimators, but a modified procedure improves accuracy.

Keywords:
62D05Identity disclosuredata partitioningkey variablepost-randomization blocksurvey weighted estimatortotal variation distance

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Area of Science:

  • Statistics
  • Data Privacy
  • Survey Methodology

Background:

  • Statistical agencies perturb microdata to protect survey unit confidentiality.
  • Identity disclosure is a major concern, where intruders match records using key variables.
  • Existing post-randomization methods may not preserve statistical estimates in general surveys.

Purpose of the Study:

  • To examine a post-randomization method for controlling identification risks in microdata.
  • To assess the impact of this method on survey-weighted estimators.
  • To propose a modified procedure that better preserves weighted estimates.

Main Methods:

  • Analysis of a post-randomization method for microdata anonymization.
  • Evaluation of potential bias in survey-weighted estimators.
  • Development and empirical assessment of a modified anonymization procedure.

Main Results:

  • The analyzed post-randomization method preserves frequencies in simple random sampling but can bias weighted estimators in general surveys.
  • A modified procedure was developed to mitigate this bias.
  • Empirical assessment using US Census Bureau data demonstrated the effectiveness of the modified procedure.

Conclusions:

  • Post-randomization methods for microdata anonymization require careful consideration of their impact on survey-weighted estimators.
  • The proposed modified procedure offers improved preservation of weighted estimates.
  • This research contributes to secure and statistically sound microdata release practices.