Balancing Inferential Integrity and Disclosure Risk Via Model Targeted Masking and Multiple Imputation-Reference-Cited by-同舟云学术

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Balancing Inferential Integrity and Disclosure Risk Via Model Targeted Masking and Multiple Imputation

Published:2021-05-04 Issue: Volume: Page:1-15
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Jiang Bei¹^ORCID,Raftery Adrian E.²,Steele Russell J.³,Wang Naisyin⁴

Affiliation:

1. Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada;

2. Department of Statistics, University of Washington, Seattle, WA;

3. Department of Mathematics and Statistics, McGill University, Montreal, QC, Canada;

4. Department of Statistics, University of Michigan, Ann Arbor, MI

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2021.1909597

Reference41 articles.

1. Bayesian Analysis of Binary and Polychotomous Response Data

2. A Review of Hot Deck Imputation for Survey Non-response

3. The relationship of dyspnoea to function and quality of life in systemic sclerosis

4. Measurement Error in Nonlinear Models

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