Imputation Techniques in SAS
Duration: 1 half-day session CEU: 0.3
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 relativly new to the use of multiple imputaiton tools in SAs, this lecture 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.
Who should attend
Analysts, data managers, and other data professionals working with data sets with missing data
Course Materials
Students attend Live Web classes using a Web browser and a telephone and interact with
their instructor and fellow classmates in real time. Each student receives an e-mail
with instructions on how to join the class three business days before the class begins.
The instructions e-mail includes a link to download the course materials, including the
exercise files. Students need to download and print the course materials prior to class.
System Requirements
For Live Web, you must
U.S. Schedule
Check for additional and updated schedule information online at
support.sas.com/courses/lwbapb.html.