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Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitation

Publication ,  Journal Article
Reiter, JP
Published in: Statistics and Probability Letters
January 1, 2008

Multiple imputation can handle missing data and disclosure limitation simultaneously. First, fill in the missing data to generate m completed datasets, then replace confidential values in each completed dataset with r imputations. I investigate how to select m and r. © 2007 Elsevier B.V. All rights reserved.

Duke Scholars

Published In

Statistics and Probability Letters

DOI

ISSN

0167-7152

Publication Date

January 1, 2008

Volume

78

Issue

1

Start / End Page

15 / 20

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0104 Statistics
  • 0102 Applied Mathematics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Reiter, J. P. (2008). Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitation. Statistics and Probability Letters, 78(1), 15–20. https://doi.org/10.1016/j.spl.2007.04.020
Reiter, J. P. “Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitation.” Statistics and Probability Letters 78, no. 1 (January 1, 2008): 15–20. https://doi.org/10.1016/j.spl.2007.04.020.
Reiter, J. P. “Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitation.” Statistics and Probability Letters, vol. 78, no. 1, Jan. 2008, pp. 15–20. Scopus, doi:10.1016/j.spl.2007.04.020.
Journal cover image

Published In

Statistics and Probability Letters

DOI

ISSN

0167-7152

Publication Date

January 1, 2008

Volume

78

Issue

1

Start / End Page

15 / 20

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0104 Statistics
  • 0102 Applied Mathematics