Online Program

Survey Data Imputation and Analysis Using SAS/STAT® (309944)

Imputation is commonly used in replacing missing values in a survey with reasonable nonmissing values. For example, hot-deck imputation replaces the missing values of a nonrespondent unit with the observed values of a respondent unit. Filling in missing values to reduce nonresponse bias is only part of the imputation task. Analyses of the filled-in data should appropriately account for the imputation. This demonstration will show you how to create a set of replicate weights that are adjusted for the imputation. Thus, if you use the imputed data along with the replication variance estimation methods in any of the SAS/STAT® survey analysis procedures, you can be confident that inferences account not only for the survey design but also for the imputation. This demonstration will show you how to use the SURVEYIMPUTE procedure to perform traditional cell-based hot-deck imputation as well as modern fully efficient fractional imputation (FEFI), fractional hot-deck imputation (FHDI), and approximate Bayesian bootstrap (ABB) imputation. It will also show you how to use SAS/STAT survey analysis procedures to analyze data sets that contain imputed values. SAS/STAT software will be discussed.