Business Knowledge Series course
Presented by Patricia Berglund, senior research associate in the Survey Methodology Program at the Institute for Social Research at the University of Michigan
Concentrating on the needs of those relatively new to the use of multiple imputation tools in SAS, this course provides a general introduction to using the MI and MIANALYZE procedures for multiple imputation and subsequent analyses with imputed data sets.
Learn how to
- recognize the type of missing data patterns that exist in your data sets
- analyze imputed data sets using standard SAS procedures
- use PROC MIANALYZE to correctly analyze output from imputed files and subsequent procedure output from standard SAS procedures
- use real-world data sets in the virtual lab to obtain experience running SAS imputation procedures.
Who should attend
Analysts, data managers, and other data professionals working with data sets with missing data
Before attending this course, you should
This course addresses SAS/STAT software.