Introduction
What this guide covers
A formal and rigorous mathematical approach to the analysis of non-independent observations using GEE, GLMM methodologies and transition models.
Overview
Topics covered
- Introduction
- Structured Models for Correlated Data
- 1. From Independence to Correlation
- One-Dimensional Exponential Family and Classical GLMs
- The Breaking of Independence: Statistical Consequences
- 2. Generalized Estimating Equations (GEE)
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
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f(y_i; \theta_i, \phi) = \exp \left\{ \frac{y_i \theta_i - b(\theta_i)}{a(\phi)} + c(y_i, \phi) \right\}