SAS Advanced Regression Learning Subscription
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About this Subscription
Join us to learn advanced regression techniques for continuous or count data outcomes, multilevel data patterns, and more. You’ll learn which technique to use when.
Learn how to:
Before taking these courses, it is recommended that you take the SAS Programming 1: Essentials and Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression courses, which are available in instructor-led or free online e-learning formats. The Statistics 2: ANOVA and Regression course or equivalent knowledge is also helpful.
Courses Included in Subscription
Level 1
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COURSE
Fitting Poisson Regression Models Using the GENMOD Procedure SHOW MORE ﹀This course is for those who analyze the number of occurrences of an event or the rate of occurrence of an event as a function of some predictor variables. For example, the rate of insurance claims, colony counts for bacteria or viruses, the number of equipment failures, and the incidence of disease can be modeled using Poisson regression models.This course includes practice data and exercises.
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COURSE
Mixed Models Analyses Using SAS® SHOW MORE ﹀This course teaches you how to analyze linear mixed models using the MIXED procedure. A brief introduction to analyzing generalized linear mixed models using the GLIMMIX procedure is also included. -
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Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS® SHOW MORE ﹀
Level 2
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COURSE
Statistical Analysis with the GLIMMIX Procedure SHOW MORE ﹀ -
COURSE
Advanced Statistical Modeling Using the NLMIXED Procedure SHOW MORE ﹀This course teaches you how to use the NLMIXED procedure to fit statistical models. -
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Robust Regression Techniques in SAS/STAT® SHOW MORE ﹀This course is designed for analysts, statisticians, modelers, and other professionals who have experience and knowledge in regression analysis and who want to learn available procedures in SAS/STAT software for robust regression. The two procedures addressed in the course are the ROBUSTREG procedure and the QUANTREG procedure.This course includes practice data.
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COURSE
Structural Equation Modeling Using SAS® SHOW MORE ﹀This course introduces the experienced statistical analyst to structural equation modeling (SEM) in the CALIS procedure in SAS/STAT software. The course also introduces the PATHDIAGRAM statement in the CALIS procedure, which draws path diagrams based on fitted models.Structural equation modeling is a statistical technique that combines elements of traditional multivariate models, such as regression analysis, factor analysis, and simultaneous equation modeling. These models are often represented as matrices, equations, and/or path diagrams and can explicitly account for uncertainty in observed variables and for estimation bias due to measurement error. Competing models can be compared to one another, providing information about the complex drivers of the outcome variables of interest. Many applications of SEM can be found in the social, economic, and behavioral sciences, where measurement error and uncertain causal conditions are commonly encountered. This course does not address models containing categorical endogenous variables or multilevel SEM, as these methods are not supported in the CALIS procedure.
SAS Products Covered
- SAS/STAT
Digital Badges
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Certification Preparation
This learning subscription is not currently associated with a SAS credential.
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“I think the self-paced training was the BEST I’ve ever taken. The videos were short and segmented correctly to keep my attention and the activities and quizzes were just enough to help my confidence.”