Regression Methods Using SAS® Viya®
VMOD : VMOD52
This course introduces several regression methods used in modern analytics workflows in SAS Viya. Learners explore linear, quantile, logistic, Poisson, Tweedie, generalized additive, mixed, Cox survival, discrete‑time hazard (self‑study), nonlinear, and partial least squares regression. Each method is presented with its primary applications, strengths, and limitations, along with practical demonstrations in SAS Viya. Examples throughout the course highlight use cases in banking, financial services, direct marketing, insurance, telecommunications, and medical research.
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 You Need to Know for Machine Learning course and 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. Quantile Regression
- 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 (self-study).
- Introduction to mixed modeling.
- Fitting a mixed model in the LMIXED procedure. Nonlinear Regression
- 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.
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Survival Analysis
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.
Coaching Services
Take your training to the next level with personalized coaching. While private training offers structured coursework, coaching 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.