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Book Cover
Author Wu, Lang, 1963-

Title Mixed effects models for complex data / Lang Wu
Published Boca Raton, Fla. : Chapman & Hall/CRC Press, [2010]
Online access available from:
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Description 1 online resource (xx, 419 pages) : illustrations
Series Monographs on statistics and applied probability ; 113
Monographs on statistics and applied probability (Series) ; 113
Contents Mixed effects models Missing data, measurement errors, and outliers -- Mixed effects models with missing data -- Mixed effects models with measurement errors -- Mixed effects models with censoring -- Survival mixed effects (frailty) models -- Joint modeling longitudinal and survival data -- Robust mixed effects models -- Generalized estimating equations (GEEs) -- Bayesian mixed effects models
Summary "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. The subsequent self-contained 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."--Jacket
Bibliography Includes bibliographical references (pages 393-413) and index
Notes Print version record
Subject Mathematical statistics -- Longitudinal studies
Multilevel models (Statistics)
Longitudinal Studies.
Models, Theoretical.
Multilevel Analysis.
MATHEMATICS -- Probability & Statistics -- General.
Mathematical statistics.
Multilevel models (Statistics)
Genre/Form Longitudinal studies.
Form Electronic book
ISBN 1282902342