When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
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.
Skills Gained
- 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 Can Benefit
- Analysts, data managers, and other data professionals working with data sets with missing data
Prerequisites
- Before attending this course, you should
- have a solid understanding of the SAS DATA step, which can be gained by attending the SAS® Programming 1: Essentials course or the SAS® Programming 2: Data Manipulation Techniques course, or have equivalent experience
- have an intermediate knowledge of statistics, which can be gained by attending either the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course or the Statistics 2: ANOVA and Regression course, or have equivalent academic training.
Course Details
Missing Data Issues
- types of missing data and how to identify sources and patterns of missing data
- why missing data occurs, and what to do about it
Introduction to Multiple Imputation Using SAS
- comparison of simple and multiple imputation approaches
- discussion of why multiple imputation is a preferred approach
- PROC MI and PROC MIANALYZE
Overview of Three-Step Process
- multiple imputation using PROC MI
- analysis of imputed data sets using standard SAS procedures
- use of PROC MIANALYZE for accounting for variability introduced during multiple imputation and analysis of output from standard SAS procedures
Practical Examples of Multiple Imputation
- common examples of multiple imputation and analysis of imputed data sets using public release data from the Longitudinal Survey of Aging (a complex sample survey data set)
- examples that cover typical imputation needs and subsequent analysis of imputed data using descriptive and regression approaches
- output from the imputation step and the analysis of imputed data sets
Does the course schedule include a Lunchbreak?
Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.
How can someone reach me during class?
If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an ExitCertified training location?
We have training locations across the United States and Canada. View a full list of classroom training locations.
Which delivery formats are available?
At ExitCertified we offer training that is Instructor-Led, Online, Virtual and Self-Paced.
Does ExitCertified deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
Does ExitCertified deliver group training?
Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.
It was a pretty good general overview. To actually use this stuff, however, I recognize that there would need to be a further dive.
Tech Data staffs experts for their training classes. I wish there were more labs offered and maybe even practice questions.
Great course, with an amazing instructor Ruben Lopez. Would definitely recommend this course.
Communications were good and team was available to answer questions at any time.
the lab book mentions t3 EC2 instances but it actually should be t2. other than that, the labs were setup very well.
0 options available
There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.
Contact Us
1-800-803-3948