This course teaches you how to analyze continuous response data and discrete count data. Linear regression, Poisson regression, negative binomial regression, gamma regression, analysis of variance, linear regression with indicator variables, analysis of covariance, and mixed models ANOVA are presented in the course.
Course Overview
Who Should Attend
Data analysts and researchers with some statistical training
Learning Outcomes
Learn how to use the ODS Graphics facility and the new SG graphical procedures in SAS to
• Fit polynomial regression models using the GLMSELECT and REG procedures
• Select models based on several statistics and automatic model selection methods using PROC GLMSELECT
• Evaluate model fit and model assumptions using the GLMSELECT, REG, GLM, GENMOD, and UNIVARIATE procedures
• Fit Poisson and negative binomial models using the GENMOD procedure, and fit gamma regression models using the GLIMMIX procedure
• Perform analysis of variance using the GLM procedure
• Write LSMESTIMATE statements in PROC GLM
• Fit ANCOVA models using PROC GLM
• Fit models with random effects using the GLIMMIX procedure
• Create a variety of statistical graphs
Course Outline Course Outline (PDF)
Module 1: Regression
Module 2: Analysis of Variance
Module 3: Regression Using Indicator Variables and Analysis of Covariance
Module 4: Generalized Linear Models
Module 5: Linear Mixed Models
Class Schedule 2026
Click any date to enquire or enrol · Dates subject to changeJan
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Feb
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Mar
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Apr
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May
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Jun
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Jul
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Aug
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Sep
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Oct
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Nov
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Dec
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