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Zbl 0869.62014
Rubin, Donald B.
Multiple imputation after 18+ years. (With discussion).
(English)
[J] J. Am. Stat. Assoc. 91, No.434, 473-489 (1996). ISSN 0162-1459; ISSN 1537-274X/e

Summary: Multiple imputation was designed to handle the problem of missing data in public-use data bases where the data-base constructor and the ultimate user are distinct entities. The objective is valid frequency inference for ultimate users who in general have access only to complete-data software and possess limited knowledge of specific reasons and models for nonresponse. For this situation and objective, I believe that multiple imputation by the data-base constructor is the method of choice.\par This article first provides a description of the assumed context and objectives, and second, reviews the multiple imputation framework and its standard results. These preliminary discussions are especially important because some recent commentaries on multiple imputation have reflected either misunderstandings of the practical objectives of multiple imputation or misunderstandings of fundamental theoretical results. Then, criticisms of multiple imputation are considered, and, finally, comparisons are made to alternative strategies.
MSC 2000:
*62D05 Statistical sampling theory
62P99 Appl. of statistics

Keywords: confidence validity; nonresponse in survey; public-use files; superefficient procedures; missing data; multiple imputation

Cited in: Zbl 1008.62002 Zbl 0869.62015

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Scientific prize winners of the ICM 2010
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Lie groups, physics and geometry. An introduction for physicists, engineers and chemists.

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