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Applied Mixed Model Analysis "A Practical Guide"

68.5
65.08
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.

This book is designed for researchers in applied fields with modest mathematical and statistical backgrounds
Emphasizes interpretation of results to address scientific questions
Worked examples in STATA and datasets for download support hands-on learning
ISBN
978-1-108-72776-1
EAN
9781108727761
Editor
Cambridge University Press
Stock
NO
Idioma
Inglés
Nivel
Profesional
Formato
Encuadernado
Rústica
Páginas
246
Largo
246
Ancho
173
Peso
-
Edición
Fecha de edición
20-11-2019
Año de edición
2019
Nº de ediciones
2
Colección
-
Nº de colección
-