The SURVEYIMPUTE procedure provides the following donor-based imputation methods for handling missing values in survey data: single and multiple hot-deck imputation, approximate Bayesian bootstrap imputation, and fully efficient fractional imputation. When you use fully efficient fractional imputation, PROC SURVEYIMPUTE produces replicate weights that appropriately account for the imputation. You can use these replicate weights in any survey analysis procedure to correctly estimate the variance for an estimator that uses the imputed data. For more information about fully efficient fractional imputation, see Kim and Shao (2014, sections 8.4 and 8.5) and Fuller (2009, section 5.2).
For more information, see Chapter 110: The SURVEYIMPUTE Procedure.