Questions Tagged [imputation]

Missing data imputation is the process of replacing missing data with substituted, 'best guess', values. Because missing data can create problems for analyzing data and can lead to missing-data bias, imputation is seen as a way to avoid the problems associated with listwise deletion (ignoring all observations with any missing values).

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