The Last Statistical Model You'll Ever Need in SAS

Unlock advanced statistical analysis with Generalized Linear Mixed Models (GLMMs) in SAS! This comprehensive course empowers you to move beyond traditional statistical tests and gain deeper insights from your data.

What you'll learn:

• Why use GLMMs? Discover the advantages of GLMMs over classical statistical methods.
• SAS Setup: Get started with a free version of SAS, utilizing SAS Studio for hands-on practice.
• GLMM Fundamentals: Master the core concepts of GLMMs, including definitions, model examples, components, assumptions, and potential pitfalls.
• Hands-on SAS Implementation: Learn to run GLMMs in SAS using the powerful PROC GLIMMIX procedure. We'll cover essential statements, options, and best practices.
• Data Output & Visualization: Interpret the output tables and datasets generated by PROC GLIMMIX. Transform your data into compelling bar plots and scatterplots for effective data communication.
• GLMM vs. Traditional Tests: Compare and contrast GLMMs with standard statistical tests like:
  • Chi-Square Test of Independence
  • Two-Way T-test
  • One-Way T-test
  • Paired T-test
  • One-Way ANOVA
  • Two-Way ANOVA
  • Repeated-Measures ANOVA
  • ANCOVA
  • Simple Linear Regression
  • Multiple Linear Regression
  • Logistic Regression (Categorical)
  • Logistic Regression (Numerical)
  • Poisson Regression
  • Linear Mixed Models
  • Generalized Linear Mixed Models
• Limitations & Next Steps: Understand the limitations of GLMMs and explore resources for continued learning.

By the end of this course, you'll be proficient in applying Generalized Linear Mixed Models as a powerful and versatile tool for statistical analysis in SAS. Gain a new perspective on data analysis and unlock deeper insights from your research.