The “What, Why, and How” of Generalized Linear Mixed Models
Exploring a powerful and flexible class of models
What are Generalized Linear Mixed Models (GLMM)? In this Statistically Speaking we explore the what, why and how of this powerful and flexible class of models.
Learn from one of the world’s foremost experts in GLMMs, Walt Stroup, and a lead developer at JMP, Dr. Elizabeth Claassen, who has implemented these models in an interactive and visual way in JMP® 17.
What you’ll learn:
- The history and development of GLMM.
- Why GLMM are important to researchers.
- How to implement GLMM using real world examples in JMP.