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Estimation Techniques in GLMMs by Deb Joff is a document available to read on EtoBox.
What is Estimation Techniques in GLMMs about?
The document discusses alternative estimation methods for Generalized Linear Mixed Models (GLMMs), focusing on Generalized Estimating Equations (GEE) and Penalized Quasi-Likelihood (PQL). GEE provides a way to estimate parameters without assuming a specific distribution, while PQL incorporates a penalty function to enhance efficiency. Both methods aim to address the challenges of maximum likelihood estimation in GLMMs.
- Author
- Deb Joff
- Language
- EN