Linear Mixed-Effects Models Using R A Step-by-Step Approach /

• Main Authors: Gałecki, Andrzej (Author), Burzykowski, Tomasz (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: Springer Texts in Statistics,
• Subjects: Statistics.; Statistical Theory and Methods.; Statistics, general.; Statistics and Computing/Statistics Programs.

Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wid...

Table of Contents:

• Introduction
• Linear Models for Independent Observations
• Linear Fixed-effects Models for Correlated Data
• Linear Mixed-effects Models.