We are open! For operations and delivery updates due to COVID-19. (click here)

Call Boomerang Books 1300 36 33 32

Description - Mixed Effects Models for Complex Data by Lang Wu

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data.

An overview of general models and methods, along with motivating examples
After presenting real data examples and outlining general approaches to the analysis of longitudinal/clustered data and incomplete data, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values, measurement errors, censoring, and outliers.

Self-contained coverage of specific topics
Subsequent chapters delve more deeply into missing data problems, covariate measurement errors, and censored responses in mixed effects models. Focusing on incomplete data, the book also covers survival and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating equation (GEE) models for longitudinal or clustered data, and Bayesian methods for mixed effects models.

Background material
In the appendix, the author provides background information, such as likelihood theory, the Gibbs sampler, rejection and importance sampling methods, numerical integration methods, optimization methods, bootstrap, and matrix algebra.

Failure to properly address missing data, measurement errors, and other issues in statistical analyses can lead

Buy Mixed Effects Models for Complex Data by Lang Wu from Australia's Online Independent Bookstore, Boomerang Books.

Book Details

ISBN: 9780367384913
Format: Paperback / softback
(229mm x 152mm x mm)
Pages: 440
Imprint: CRC Press
Publisher: Taylor & Francis Ltd
Publish Date: 5-Sep-2019
Country of Publication: United Kingdom

Other Editions - Mixed Effects Models for Complex Data by Lang Wu

Book Reviews - Mixed Effects Models for Complex Data by Lang Wu

» Have you read this book? We'd like to know what you think about it - write a review about Mixed Effects Models for Complex Data book by Lang Wu and you'll earn 50c in Boomerang Bucks loyalty dollars (you must be a Boomerang Books Account Holder - it's free to sign up and there are great benefits!)

A Preview for this title is currently not available.