Paper 246-2009 Getting the Most out of the SAS ® Survey Procedures: Repeated Replication Methods, Subpopulation Analysis, and Missing Data Options in SAS ® v9.2

Abstract

This paper presents practical guidance on three common survey data analysis techniques: repeated replication methods for variance estimation, subpopulation analyses, and techniques for handling missing data. A number of new features in the SAS ® 9.2 survey procedures are demonstrated: Jackknife and Balanced Repeated Replication methods for variance estimation, subpopulation analysis with use of the DOMAIN option and the subsetting approach and the use of the NOMCAR (not missing completely at random) and multiple imputation options for handling missing data. Descriptive statistics as well as logistic regression are demonstrated. The analytic techniques presented can be used on any operating system and are intended for an intermediate level audience