Applied Mixed Model Analysis: A Practical Guide

Practical Guides to Biostatistics and Epidemiology

by Jos W.R. Twisk

This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields.

246 pages, Paperback

Published May 30, 2019

Reviews

[David · Rating 3 out of 5]

This book is extremely long-winded, full of redundant expressions in most sentences. It often confused me as what the author had just said in the earlier part in the sentence. It had better be abridged to allow for better understanding of the texts. I am not sure whether this is due to English being the author’s additional language, or because the author wanted to make the book thicker. This book did not live up to my expectation and I had to give up reading it halfway done.

[Hojjat Sayyadi · Rating 5 out of 5]

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