Applied Mixed Model Analysis: A Practical Guide

Jos W. R. Twisk

doi:10.1017/9781108635660

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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Contents

Applied Mixed Model Analysis
pp i-i
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Practical Guides to Biostatistics and Epidemiology - Series page
pp ii-ii
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Applied Mixed Model Analysis - Title page
pp iii-iii
A Practical Guide
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Copyright page
pp iv-iv
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Dedication
pp v-vi
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Contents
pp vii-x
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Preface
pp xi-xii
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1 - Introduction
pp 1-4
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2 - Basic Principles of Mixed Model Analysis
pp 5-35
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3 - What Is Gained by Using Mixed Model Analysis?
pp 36-44
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4 - Logistic Mixed Model Analysis
pp 45-57
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5 - Mixed Model Analysis with Different Outcome Variables
pp 58-77
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6 - Explaining Differences between Groups
pp 78-89
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7 - Multivariable Modelling
pp 90-115
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8 - Predictions Based on Mixed Model Analysis
pp 116-130
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9 - Mixed Model Analysis in Longitudinal Studies
pp 131-150
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10 - Multivariate Mixed Model Analysis
pp 151-165
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11 - Meta-Analysis on Individual Participant Data
pp 166-178
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12 - Sample-Size Calculations
pp 179-186
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13 - Some Loose Ends …
pp 187-226
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References
pp 227-233
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Index
pp 234-236
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Applied Mixed Model Analysis

A Practical Guide

Book description

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Contents

Applied Mixed Model Analysis
pp i-i

Practical Guides to Biostatistics and Epidemiology - Series page
pp ii-ii

Applied Mixed Model Analysis - Title page
pp iii-iii

Copyright page
pp iv-iv

Dedication
pp v-vi

Contents
pp vii-x

Preface
pp xi-xii

1 - Introduction
pp 1-4

2 - Basic Principles of Mixed Model Analysis
pp 5-35

3 - What Is Gained by Using Mixed Model Analysis?
pp 36-44

4 - Logistic Mixed Model Analysis
pp 45-57

5 - Mixed Model Analysis with Different Outcome Variables
pp 58-77

6 - Explaining Differences between Groups
pp 78-89

7 - Multivariable Modelling
pp 90-115

8 - Predictions Based on Mixed Model Analysis
pp 116-130

9 - Mixed Model Analysis in Longitudinal Studies
pp 131-150

10 - Multivariate Mixed Model Analysis
pp 151-165

11 - Meta-Analysis on Individual Participant Data
pp 166-178

12 - Sample-Size Calculations
pp 179-186

13 - Some Loose Ends …
pp 187-226

References
pp 227-233

Index
pp 234-236

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Applied Mixed Model Analysis

A Practical Guide

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