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Synthetic Multiple-Imputation Procedure for Multistage Complex Samples

Author

Listed:
  • Hanzhi Zhou
  • Michael R. Elliott
  • Trivellore E. Raghunathan

Abstract

Multiple imputation (MI) is commonly used when item-level missing data are present. However, MI requires that survey design information be built into the imputation models.

Suggested Citation

  • Hanzhi Zhou & Michael R. Elliott & Trivellore E. Raghunathan, "undated". "Synthetic Multiple-Imputation Procedure for Multistage Complex Samples," Mathematica Policy Research Reports f8c30b6f4346469f9880fdb2f, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:f8c30b6f4346469f9880fdb2f63171f4
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    File URL: http://www.degruyter.com/view/j/jos.2016.32.issue-1/jos-2016-0011/jos-2016-0011.xml
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