West B.T., Welch K.B., Galecki A.T. Linear Mixed Models: A Practical Guide Using Statistical Software

3rd edition. — CRC Press, 2022. — 490 p. — ISBN 978-1-032-01932-1.Highly recommended by JASA, Technometrics, and other leading statistical journals, the first two editions of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition continues to lead readers step-by-step through the process of fitting LMMs.The third edition provides a comprehensive update of the available tools for fitting linear mixed-effects models in the newest versions of SAS, SPSS, R, Stata, and HLM. All examples have been updated, with a focus on new tools for visualization of results and interpretation. New conceptual and theoretical developments in mixed-effects modeling have been included, and there is a new chapter on power analysis for mixed-effects models.Ideal for anyone who uses software for statistical modeling, this book eliminates the need to read multiple software-specific texts by covering the most popular software programs for fitting LMMs in one handy guide. The authors illustrate the models and methods through real-world examples that enable comparisons of model-fitting options and results across the software procedures.Introduction
Linear Mixed Models: An Overview
Two-Level Models for Clustered Data: The Rat Pup Example
Three-Level Models for Clustered Data
Models for Repeated-Measures Data: The Rat Brain Example
Random Coefficient Models for Longitudinal Data: The Autism Example
Models for Clustered Longitudinal Data: The Dental Veneer Example
Models for Data with Crossed Random Factors: The SAT Score Example
Power Analysis and Sample Size Calculations for Linear Mixed Models