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December 2003 Multiple Imputation: Theory and Method
Paul Zhang
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Internat. Statist. Rev. 71(3): 581-592 (December 2003).

Abstract

In this review paper, we discuss the theoretical background of multiple imputation, describe how to build an imputation model and how to create proper imputations. We also present the rules for making repeated imputation inferences. Three widely used multiple imputation methods, the propensity score method, the predictive model method and the Markov chain Monte Carlo (MCMC) method, are presented and discussed.

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Paul Zhang. "Multiple Imputation: Theory and Method." Internat. Statist. Rev. 71 (3) 581 - 592, December 2003.

Information

Published: December 2003
First available in Project Euclid: 21 October 2003

zbMATH: 1114.65304

Rights: Copyright © 2003 International Statistical Institute

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Vol.71 • No. 3 • December 2003
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