The Last Statistical Model You'll Ever Need in SAS

Use generalized linear mixed models to replace t-tests, ANOVA, regression, and more!

Ratings: 5.00 / 5.00




Description

This course will teach you how to use the generalized linear mixed model framework to replicate (and go beyond) the classical statistical tests such as t-test, ANOVA, and regression in SAS.

  • In the 1st lecture, I start by asking why use generalized linear mixed models (GLMMs)?

  • Next, I explain how to get and use a free version of SAS, SAS Studio.

  • The 2nd lecture goes over the details of GLMMs. This includes definitions, model examples, parts, assumptions, and caveats. The section ends with a quick example in SAS.

  • Lecture #3 covers how to run GLMMs in SAS using PROC GLIMMIX. It starts with an overview of the procedure, then delves into the core statements, other statements, and common statement options.

  • Lecture #4 focuses on the output table and datasets produced by PROC GLIMMIX. The first half covers table interpretation.

  • The second half of the course wrangles data outputs to graph bar plots and scatterplots.

  • Lectures #5-10 go through side-by-side examples of standard statistical tests compared to generalized linear mixed models, using the same datasets.

  • Model specification and output interpretation is considered for each.

  • The tests covered are:

    • 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

  • In the 11th and final lecture, I explain what tests you can’t do with a GLMM format, provide next steps to take your learning, and list useful references.

  • By the end of the course, you will be confidently using GLMMs as a new paradigm for statistical analysis.

What You Will Learn!

  • Understand what Generalized Linear Mixed Models (GLMMs) are
  • See how they can be used to fit most other statistical models (T-tests, ANOVA, Regression, etc.)
  • Learn how to construct, run, and interpret GLMMs in SAS using PROC GLIMMIX
  • Test side-by-side comparisons of statistical models with PROC GLIMMIX

Who Should Attend!

  • Statistical students with familiarity in SAS and a desire to tackle statistical analyzes with a unified framework.