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For further details of this approach, see the section titled "The Issue of Perfect Prediction During Imputation of Categorical Data" in the STATA 12 multiple imputation documentation provided by the software STATA 12. 3. Adding interaction terms: Sometimes, imputing on subsamples is required for two reasons.
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First, we used multiple imputation to impute stage.
Missing data will be imputed using multiple imputation techniques.
Missing outcome data will be imputed using multiple imputation [ 52].
These missing covariates were imputed with a multiple imputation model.
This was imputed using a multivariate multiple imputation procedure with 10 imputations.
Multiple imputation using chained equations was used to impute missing covariates; five imputations were generated.
Multiple imputation inference procedures are applied to the resulting multiply imputed complete data sets.
Multiple imputation by chained equations.
Figure 16 Multiple imputation estimates after 30 imputations.
Missing stage was handled by multiple imputation approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com