Sentence examples for multiple imputation demonstrated from inspiring English sources

Analyses following multiple imputation demonstrated similar results to complete case analyses.

Notably, however, a simpler method – individual mean imputation – demonstrated comparable accuracy in three MCAR scenarios and actually performed slightly better than multiple imputation in three scenarios where data were missing in an unbalanced manner.

We demonstrate how multiple imputation methods may help to reduce the selection bias if partial data on some nonparticipants are collected.

First, we used multiple imputation to impute stage.

Peugh and Enders (2004) demonstrated the use of multiple imputation using the multivariate normal model in the context of the Longitudinal Study of American Youth.

Similarly, Faris et al. have empirically demonstrated strong performance of multiple imputation in a dataset with a MNAR pattern of missing data [ 15].

Our study demonstrates the use of multiple imputation to derive a single value – the missing observation for a specific respondent.

These missing covariates were imputed with a multiple imputation model.

Simulation studies demonstrated that even with few generated data sets multiple imputation yielded valid results [ 14].

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.