Thuan Nguyen Livres

Focusing on mixed effects models, this second edition provides a comprehensive overview of linear and generalized linear mixed models, emphasizing their theoretical foundations and practical applications across various disciplines. It systematically addresses inference for non-Gaussian models and incorporates recent advancements, including high-dimensional models in genome-wide association studies, new methods for prediction, selection, and diagnostics. The book serves as an essential resource for understanding the evolving landscape of mixed model analysis.

Mixed-effects models have found broad applications in various fields. As a result, the interest in learning and using these models is rapidly growing.