ST-14 Handling Missing Data with Multiple Imputation Using PROC MI in SAS
نویسنده
چکیده
The multiple imputation was developed as a general method for inference with missing data. Instead replacing the missing observation with a single value, multiple imputation method replaces each missing value with multiple plausible values. PROC MI in SAS creates multiply imputed data sets for incomplete multivariate data. This study reviews multiple imputation as an analytic strategy for missing data and applies PROC MI to impute missing data in a Medical Expenditure Panel Survey.
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