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  3. Applied Mixed Model Analysis
  • Cited by 35
Publisher:
Cambridge University Press
Online publication date:
May 2019
Print publication year:
2019
Online ISBN:
9781108635660
DOI:
https://doi.org/10.1017/9781108635660
Subjects:
Statistics for Life Sciences, Medicine and Health, Epidemiology Public Health and Medical Statistics, Medicine, General Statistics and Probability, Statistics and Probability
Series:
Practical Guides to Biostatistics and Epidemiology
Information

Book description

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.

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