Abstract
The goal of multiple imputation is to provide valid inferences for statistical estimates from incomplete data.
To achieve that goal, imputed values should preserve the structure in the data, as well as the uncertainty
about this structure, and include any knowledge about the process that generated the missing data. Two
approaches for imputing
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