Source: Internat. Statist. Rev.
Volume 71, Number 3
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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