Regression Methods Using SAS® Viya®
VMOD : VMOD01
This course covers nine regression methods. The models include linear, logistic, quantile, generalized linear, generalized additive, mixed, survival, nonlinear, and partial least squares. The applications, strengths, and weaknesses of each method are discussed, along with how the methods are implemented in SAS Viya. A comparison of the SAS Viya procedures and SAS/STAT procedures for each method is also shown. Examples in the course show applications in banking, financial services, direct marketing, insurance, telecommunications, medical, and academic fields.
The self-study e-learning includes:
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual lab time to practice.
Learn How To
- Use SAS Viya to fit various regression models.
- Assess model performance in SAS Viya.
- Score new data with the fitted regression models in SAS Viya.
Who Should Attend
Business analysts, social scientists, epidemiologists, and statisticians who want to see what SAS Viya has to offer in regression methods
Prerequisites
Before attending this course, you should:
- Have experience executing SAS programs and creating SAS data sets, which you can gain from the SAS Programming 1: Essentials course.
- Have experience building statistical models using SAS software.
- Have completed a statistics course that covers linear regression and logistic regression, such as the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course.
SAS Products Covered
SAS Viya
Course Outline
Introduction to SAS Viya
- SAS Analytics Platform.
- Loading files into SAS Viya.
- Fitting models in the REGSELECT procedure.
- Model assessment.
- What is quantile regression?
- Logistic regression models.
- Model assessment for logistic regression.
- Generalized linear models.
- Poisson regression.
- Tweedie regression.
- Introduction to generalized additive models.
- Using the GAMSELECT procedure to fit generalized additive models.
- Introduction to survival analysis.
- Cox Proportional Hazards model.
- Discrete time survival models.
- Introduction to mixed modeling.
- Fitting a mixed model in the LMIXED procedure.
- Introduction to nonlinear regression models.
- Fitting nonlinear regression models using the NLMOD procedure.
- Introduction to partial least squares.
- Fitting partial least squares models in the PLSMOD procedure.
Live Class Schedule
Duration: 14 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
Live Class Schedule
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Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.