Multiple Imputation: Theory
2020
In this chapter, we provide an overview over the theory of multiple imputation. Topics covered are justification of multiple imputation strategies based on monotone and non-monotone missing patterns, the approach based on joint modeling of all variables with missing values and the fully conditional modeling approach, where only univariate marginal models are used to generate imputations. Additional topics are rounding, how to deal with restrictions and how to treat interaction or higher polynomial terms.
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