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However, this method might contain a considerable level of imprecision because of the multiple statistical imputations.
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In these studies, multiple imputation, a statistical technique that uses a statistical model to fill in plausible values for each missing data point, was used [ 24, 25].
Missing data will be replaced using sophisticated imputation techniques such as multiple imputation or regression imputation.
In practice, implementations of multiple imputation in statistical software are made under the MAR assumption.
Data management, multiple imputation, and statistical analyses were made using Stata 12.1 (StataCorp LP, College Station, TX, USA).
Statistical analyses including the multiple imputations were performed using the Statistical Package of Social Sciences version 17.0 for Windows (SPSS Inc., Chicago, IL, USA).
Variables considered in the imputation method (last model) were selected more than 5 times among the 10 replications of multiple imputations (see statistical method).
Multiple imputation (MI) accounts for imputation uncertainty that allows for adequate statistical testing.
Multiple imputation is a statistical technique which uses available data to predict missing values.
Multiple imputation is a statistical technique for handling incomplete data and for delivering an analysis that makes use of all possible information (Rubin, 1977 1978).
Figure 16 Multiple imputation estimates after 30 imputations.
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