Multiple Imputation of Missing Data Using Stata
Multiple imputation (MI) is a statistical technique for dealing with missing data. In MI the distribution of observed data is used to estimate a set of plausible values for missing data. The missing values are replaced by the estimated plausible values to create a “complete” dataset.
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