Linear Mixed Models for Longitudinal Data van Geert Verbeke and Geert Molenberghs is an English-language textbook that provides an extensive treatment of linear mixed models for continuous longitudinal data. This book is aimed at statisticians and researchers who work with complex data sets in the biomedical sector, industry, and academic science.
In addition to the formulation of linear mixed models, the text covers exploratory data analysis, model diagnostics, and handling missing data. An important focus is sensitivity analysis with incomplete data. The book also discusses variants such as heterogeneity and conditional mixed models. All analyses are mainly carried out with the MIXED procedure in SAS, but the explanation is software-independent, and other commercial packages are briefly mentioned as well.
This reference work aligns with topics in Probability and Statistics and Stochastics, and belongs to the Springer Series in Statistics.