Mixed Effects Models for Complex Data

Mixed Effects Models for Complex Data

by Wu, Lang

Type Book
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Presenting effective approaches to address missing data, measurement errors, censoring, and outliers in longitudinal data, this book covers linear, nonlinear, generalized linear, nonparametric, and semiparametric mixed effects models. It links each mixed effects model with the corresponding class of regression model for cross-sectional data and discusses computational strategies for likelihood estimations of mixed effects models. The author briefly describes generalized estimating equations met…

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Title Statements

  • Full title :Mixed Effects Models for Complex Data.

Summary

Presenting effective approaches to address missing data, measurement errors, censoring, and outliers in longitudinal data, this book covers linear, nonlinear, generalized linear, nonparametric, and semiparametric mixed effects models. It links each mixed effects model with the corresponding class of regression model for cross-sectional data and discusses computational strategies for likelihood estimations of mixed effects models. The author briefly describes generalized estimating equations methods and Bayesian mixed effects models and explains how to implement standard models using R and S-Pl.

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Edition Statements

  • Publication Date:2009.

Publication Statements

  • Publisher(s):Chapman & Hall/CRC
  • Place of Publication:Hoboken
  • Language:eng
  • Publication Date:2009.

The Physical Object

  • Description:1 online resource (440 pages)

Edition Identifiers

  • ISBN:1420074024, 9781420074024, 9781420074086, 1420074083
  • oclc:ocn990684338
  • LC Classification:QA278.W85 2010
  • Dewey Decimal:519.5/4

Table of Contents

Cover; Title; Copyright; Contents; Preface; CHAPTER 1: Introduction; CHAPTER 2: Mixed Effects Models; CHAPTER 3: Missing Data, Measurement Errors, and Outliers; CHAPTER 4: Mixed Effects Models with Missing Data; CHAPTER 5: Mixed Effects Models with Measurement Errors; CHAPTER 6: Mixed Effects Models with Censoring; CHAPTER 7: Survival Mixed Effects (Frailty) Models; CHAPTER 8: Joint Modeling Longitudinal Data and Survival Data; CHAPTER 9: Robust Mixed Effects Models; CHAPTER 10: Generalized Estimating Equations (GEEs); CHAPTER 11: Bayesian Mixed Effects Models.

CHAPTER 12: Appendix: Background MaterialsReferences; Index; Abstract.

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Subjects

Longitudinal studies Mathematical statistics Modèles multiniveaux (Statistique) -- É… Multilevel models (Statistics) Multilevel models (Statistics) -- Longi…

Writers

Wu, Lang

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