SURVEYIMPUTE Procedure
The SURVEYIMPUTE procedure imputes missing values of an item in a data set by replacing them with observed
values from the same item. The principles by which the imputation is performed are particularly useful for survey data.
The following are highlights of the SURVEYIMPUTE procedure's features:
 fully efficient fractional hotdeck imputation
 traditional hotdeck imputation with the following donor selection methods
 approximate Bayesian bootstrap
 simple random samples without replacement
 simple random samples with replacement
 probability proportional to respondent weights with replacement
 computes imputationadjusted replicate weights

 computes imputationadjusted balanced repeated replication (BRR) weights
 computes imputationadjusted jackknife weights
 provides a CELLS statement which names the variables that identify the imputation cells
 imputes variables jointly or independently for the fully efficient fractional imputation method
 creates a SAS data set that contains the imputed data

For further details see the SURVEYIMPUTE Procedure
Examples