Multiple Imputation: Theory and Method
Paul Zhang
Source: Internat. Statist. Rev. Volume 71, Number 3
(2003), 581-592.
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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Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.isr/1066768709
Zentralblatt MATH identifier: 02124743
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