Applied Mixed Model Analysis
(Part of the Practical Guides to Biostatistics and Epidemiology Series)
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Book Overview
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.
Format:Paperback
Language:English
ISBN:110872776X
ISBN13:9781108727761
Release Date:May 2019
Publisher:Cambridge University Press
Length:246 Pages
Weight:1.00 lbs.
Dimensions:0.6" x 8.4" x 9.8"
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