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What is mi multiple imputation?
MI multiple imputation is a statistical technique used to impute missing data by generating multiple plausible values.
Who is required to file mi multiple imputation?
MI multiple imputation may be required by researchers or analysts working with datasets containing missing values.
How to fill out mi multiple imputation?
MI multiple imputation involves using software or programming languages to generate multiple imputed datasets and analyze the results.
What is the purpose of mi multiple imputation?
The purpose of MI multiple imputation is to provide more accurate and reliable estimates by accounting for missing data.
What information must be reported on mi multiple imputation?
The imputed values, variables with missing data, and any relevant assumptions made during the imputation process.
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