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Unlike other methods of imputation, multiple imputation acknowledges uncertainty about the missing values by creating several imputed datasets.
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First, we used multiple imputation to impute stage.
Multiple imputation is used to impute country of birth from the SIPP into the SCF.
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.
To reduce the bias implicit in utilizing only complete cases, multiple imputation procedures were implemented using the SPSS Markov Chain Monte Carlo multiple imputation function to produce five imputed datasets.
Not asked and not answered: multiple imputation for multiple surveys.
Li, X., Mehrotra, D. V. & Barnard, J. Analysis of incomplete longitudinal binary data using multiple imputation.
Multiple imputation by chained equations: what is it and how does it work?
Missing stage was handled by multiple imputation approach.
Her research on missing data focuses on multiple imputation and survey nonresponse.
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