Linear Mixed Models

by Brady T. West, Kathleen B. Welch, Andrzej T Galecki

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 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. •Dedicates an entire chapter to the key theories underlying LMMs for clustered, longitudinal, and repeated measures data
•Provides descriptions, explanations, and examples of software code necessary to fit LMMs in SAS, SPSS, R, Stata, and HLM
•Contains detailed tables of estimates and results, allowing for easy comparisons across software procedures
•Presents step-by-step analyses of real-world data sets that arise from a variety of research settings and study designs, including hypothesis testing, interpretation of results, and model diagnostics
•Integrates software code in each chapter to compare the relative advantages and disadvantages of each package
•Supplemented by a website with software code, datasets, additional documents, and updates 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.

Genres: Mathematics, Science

490 pages, Hardcover

First published November 22, 2006

Reviews

[Jackson Twait · Rating 5 out of 5]

All my homies hate linear mixed models. 5 stars though

[Marcus · Rating 3 out of 5]

I'm of two minds on how to rate this. On the one hand the writing is very clear, the book is extensive in its examples and discussion of the differences in statistical software. And I might have liked the book more if I actually needed any of the software in this book other than R.

My low rating is largely due to the lack of practice problems at all. I think it is strange to have a technical book without any problem set whatsoever. I do not expect the book to have problems for doing the math per se, that is not really what the book is about. But the book would benefit greatly from very short "Check your understanding problems" or some high quality true or false questions.

The chapter summaries are really halfhearted and hardly touch on any of the important topics discussed in the book.

The authors are very knowledgeable and I've learned a lot from reading this book. I just wish they had made it easier for me to do so!