Linear Mixed-Effects Models Using R

A Step-by-Step Approach

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software
Cover of the book Linear Mixed-Effects Models Using R by Andrzej Gałecki, Tomasz Burzykowski, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Andrzej Gałecki, Tomasz Burzykowski ISBN: 9781461439004
Publisher: Springer New York Publication: February 5, 2013
Imprint: Springer Language: English
Author: Andrzej Gałecki, Tomasz Burzykowski
ISBN: 9781461439004
Publisher: Springer New York
Publication: February 5, 2013
Imprint: Springer
Language: English

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 wide range of uses for the models by applied researchers in those and other fields by providing state-of-the-art descriptions of the implementation of LMMs in R. To help readers to get familiar with the features of the models and the details of carrying them out in R, the book includes a review of the most important theoretical concepts of the models. The presentation connects theory, software and applications. It is built up incrementally, starting with a summary of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs. A similar step-by-step approach is used to describe the R tools for LMMs. All the classes of linear models presented in the book are illustrated using real-life data. The book also introduces several novel R tools for LMMs, including new class of variance-covariance structure for random-effects, methods for influence diagnostics and for power calculations. They are included into an R package that should assist the readers in applying these and other methods presented in this text.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 wide range of uses for the models by applied researchers in those and other fields by providing state-of-the-art descriptions of the implementation of LMMs in R. To help readers to get familiar with the features of the models and the details of carrying them out in R, the book includes a review of the most important theoretical concepts of the models. The presentation connects theory, software and applications. It is built up incrementally, starting with a summary of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs. A similar step-by-step approach is used to describe the R tools for LMMs. All the classes of linear models presented in the book are illustrated using real-life data. The book also introduces several novel R tools for LMMs, including new class of variance-covariance structure for random-effects, methods for influence diagnostics and for power calculations. They are included into an R package that should assist the readers in applying these and other methods presented in this text.

More books from Springer New York

Cover of the book Handbook of Work Disability by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Surgical Pathology of the Gastrointestinal System: Bacterial, Fungal, Viral, and Parasitic Infections by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Human Auditory Development by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Forest Landscapes and Global Change by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Integrated Circuits for Analog Signal Processing by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Microarchitecture of Network-on-Chip Routers by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book On-Orbit Operations Optimization by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Multidimensional Item Response Theory by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book The Mathematics and Mechanics of Biological Growth by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Topical Drug Bioavailability, Bioequivalence, and Penetration by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Linking Trade and Security by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Evolutionary Perspectives on Human Sexual Psychology and Behavior by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book Adaptive Decision Making and Intellectual Styles by Andrzej Gałecki, Tomasz Burzykowski
Cover of the book The Pediatric Spine III by Andrzej Gałecki, Tomasz Burzykowski
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy