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Multiple Imputation Using SAS
By Patricia Berglund and Steven Heeringa
Anticipated publication date: Fourth quarter 2013
Multiple Imputation Using SAS provides both theoretical background and practical solutions for those working with incomplete data sets in an engaging example-driven format. It offers practical guidance on the use of SAS for multiple imputation and provides numerous examples using a variety of public release data sets.
Written for users with an intermediate background in SAS programming and statistics, this book is an excellent resource for anyone seeking guidance on multiple imputation. The authors cover PROC MI and PROC MIANALYZE in detail along with other procedures used for analysis of complete data sets. They guide analysts through the multiple imputation process, including evaluation of missing data patterns, choice of an imputation method, execution of the process, and interpretation of results. Topics discussed include how to deal with missing data problems in a statistically appropriate manner, how to intelligently select an imputation method, how to incorporate the uncertainty introduced by the imputation process, and, if appropriate, how to incorporate the complex sample design via the use of the SAS SURVEY procedures.
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