Exact(3)
Fourth, while interpreting our results, it has to be borne in mind that 27% of all demographic, clinical and psychological data needed for the analyses were missing and imputed using multivariate imputation techniques.
Missing values will be replaced using multivariate imputation techniques.
Indeed, the sensitivity analysis using multiple multivariate imputation techniques did not alter the effect sizes reported; thus, bias resulting from the missing data was unlikely.
Similar(57)
Missing data will be imputed using multiple imputation techniques.
Missing data will be imputed using multiple imputation techniques [ 62].
Missing values will be imputed using multiple imputation techniques.
Fifteen (10 training, 5 validation) samples were imputed using multivariate imputation chain equations.
Missing information was imputed using multivariate imputation by chained equation method [ 34].
Missing data were imputed using multivariate imputation by chained equations in Stata v11.0 [ 39– 41].
All missing data were multiply imputed via the Multivariate Imputation by Chained Equations (MICE) procedure [ 21].
Missing values were imputed using a Multivariate Imputation by Chained Equations (MICE) procedure with the "predictive mean matching" as imputation method [ 30].
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