Linear Mixed Models: A Practical Guide Using Statistical Software

ISBN-13: 9781032019321 / Angielski / Twarda / 2022 / 497 str.

Brady T. West; Kathleen B. Welch; Andrzej T. Galecki

Opis

The third edition provides a comprehensive update of the available tools for fitting linear mixed-effects models in the newest versions of SAS, SPSS, R, Stata, and HLM. There is a focus on new tools for visualization of results and interpretation. New conceptual and theoretical developments in mixed-effects modeling have been included

Recenzje

". . . this book is perfect for readers who are looking for a quick reference to all kinds of situations in which LMMs are to be used. In the opinion of the reviewer, either this book or the Galecki and Burzykowski (2013) book are a must for the practical statistician working with R. And the reviewer finds it helpful to have both on the shelf. For readers with a great need to incorporate novel data visualization approaches in their analyses and the need to improve result interpretation, the third edition is clearly superior to the second edition."
~ Andreas Ziegler, Biometrics Journal

"This book will definitively help researchers and statisticians reach a deeper understanding of linear mixed models and provides them with the resources to perform a proper analysis whatever their statistical software of choice."
~ Célia Touraine, ISCB Book Reviews

Spis treści

1. Introduction
2. Linear Mixed Models: An Overview
3. Two-Level Models for Clustered Data: The Rat Pup Example
4. Three-Level Models for Clustered Data
5. Models for Repeated-Measures Data: The Rat Brain Example
6. Random Coe□cient Models for Longitudinal Data: The Autism Example
7. Models for Clustered Longitudinal Data: The Dental Veneer Example
8. Models for Data with Crossed Random Factors: The SAT Score Example
9. Power Analysis and Sample Size Calculations for Linear Mixed Models
A. Statistical Software Resources
B. Calculation of the Marginal Covariance Matrix
C. Acronyms / Abbreviations