Stay in Touch
Not sure what course to take?
Speak with an expert curriculum consultant at 800-333-7660 or send an e-mail.Submit Your Course Requests
Want this course at another location or on a different date? Let us know your course needs.On-site Pricing
Course fee and EPTO/APTO units differ for on-site training.
Categorical Data Analysis Using Logistic Regression
|
Classroom duration: 3.0 days Live Web duration: 6 half-day sessions Please note the System Requirements below. Course fee: $1,725 EPTO units: 3.3 CEUs: 1.8 | ||
 |
This course focuses on analyzing categorical response data in scientific fields. The SAS procedures addressed are PROC FREQ, PROC LOGISTIC, and PROC GENMOD.
Learn how to
- use the LOGISTIC procedure for binary, ordinal, and nominal logistic regression
- use the FREQ procedure for preliminary analyses
- create logit plots and ROC curves
- perform exact and conditional logistic regression with PROC LOGISTIC
- analyze repeated and clustered data using generalized estimating equations in the GENMOD procedure.
Who should attend
Biostatisticians, epidemiologists, social scientists, and physical scientists. This course is not designed for predictive modelers in business fields.
Expand All
Collapse All
Print version
Prerequisites
Before attending this course, you should
- be able to execute SAS programs and create SAS data sets. You can gain this experience by completing the SAS Programming I: Essentials course.
- have experience analyzing frequency tables using SAS software.
- have completed a course in statistics that covers linear regression and logistic regression. You can gain this experience by completing the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression course.
Course Contents
Contingency Table Analysis
- using measures and tests of association
- performing stratified data analysis
- fitting the model
- using model selection strategies
- assessing the fit of the model
- fitting GEE models
- fitting ordinal logistic regression models
- fitting nominal logistic regression models
- fitting exact logistic regression models
- fitting conditional logistic regression models
Software
This course addresses SAS/STAT, SAS/GRAPH.
Course Materials
Classroom: Students attend classroom courses in one of our public training centers. You receive
a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
Live Web: 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. Students need to download and print the course materials prior to class.
After-class exercises comprise a significant portion of the practice opportunities in the Live Web class. After-class exercises are structured activities completed between class sessions in the student's own time. Students should plan to spend 1-1½ hours on after-class exercises to realize the full benefit of the course and to maximize learning gain.
Live Web: 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. Students need to download and print the course materials prior to class.
After-class exercises comprise a significant portion of the practice opportunities in the Live Web class. After-class exercises are structured activities completed between class sessions in the student's own time. Students should plan to spend 1-1½ hours on after-class exercises to realize the full benefit of the course and to maximize learning gain.
System Requirements
For Live Web, you must
- review and follow the general system requirements.
- complete the course exercises through our virtual lab. The virtual lab allows you to access the software used in class over the Internet, so that you do not need this software on your local machine.
- run this
test to connect to a virtual lab session. If firewall problems prevent you from connecting to the virtual lab, then you will need the following software installed and configured in your environment to participate in the course exercises:
- Base SAS 9 or 8.2 under a Windows operating system; SAS/STAT software; and SAS/GRAPH software. Please note that a portion of this class covers the new features in SAS 9. Students who are using a release earlier than SAS 9 will not be able to complete approximately 20% of the course exercises.
Share Your Thoughts
Not sure if this course suits your needs or which delivery method is right for you?
Give us a call at 800-333-7660 or send us e-mail.
If you have suggestions for this course or would like for it to be offered at another
training facility, let us know by adding to our Interest List.
This page was created using SAS software.