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Multiple imputation was used to impute missing information.
Multiple imputation was used to impute missing values of the outcomes, mediators and confounders [ 22, 23].
Multiple imputation was implemented with m imputed datasets under the MAR assumption.
Multiple imputation was conducted using chained equations which created 20 imputed datasets.
The multiple imputation was performed 10 times to generate 10 different datasets with imputed prevalence.
A total of five datasets using values from multiple imputation was used.
Multiple imputation was performed in AmeliaView [44].
Multiple imputation was used for missing data.
Similar(3)
Multiple imputation was used to handle missing data.
Multiple imputation was used as necessary in the presence of missing values.
Using regression trees as imputation models for multiple imputation was found to be promising elsewhere [ 23].
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