Introduction
What this guide covers
Theoretical rigor, mathematical formulation of random effects in non-Gaussian exponential families, numerical approximation techniques and advanced frequentist inference methodologies.
Overview
Topics covered
- Introduction
- Generalized Linear Mixed Models
- Statistical Fundamentals and Transition from LMM to GLMM
- Formulation of the Mathematical Structure of GLMMs
- Common Exponential Families and Link Functions
- Conditional Effects vs. Marginal Effects (Population)
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
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\mathbf{y} = \mathbf{X}\boldsymbol{\beta} + \mathbf{Z}\mathbf{u} + \boldsymbol{\epsilon}