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Applied longitudinal analysis /

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"Since the publication of the first edition, the authors have solicited feedback from both the instructors who use the book as a text for their courses as well as the researchers who use the book as a resource for their research. Thus, the improved Second Edition of Applied Longitudinal Analysi...

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Bibliographic Details
Main Author: Fitzmaurice, Garrett M., 1962-
Other Authors: Laird, Nan M., 1943-, Ware, James H., 1941-2016
Format: eBook
Language:English
Language Notes:Text in English.
Published: Hoboken : Wiley, 2011.
Edition:2nd ed.
Series:Wiley series in probability and statistics.
Subjects:
Longitudinal method.
Regression analysis.
Multivariate analysis.
Medical statistics.
Biometry > methods
Longitudinal Studies
Regression Analysis
Multivariate Analysis
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Longitudinal and clustered data
  • Longitudinal data: basic concepts
  • overview of linear models for longitudinal data
  • Estimation and statistics inference
  • Modeling the mean: analyzing response profiles
  • Modeling the mean: parametric curves
  • Modeling the covariance
  • Linear mixed effect models
  • Fixed effects versus random effects models
  • Residual analyses and diagnostics
  • Review of generalized linear models
  • Marginal models: introduction and overview
  • Marginal models: generalized estimating equations (GEE)
  • Generalized linear mixed effect models
  • Generalized linear mixed effect models: approximate methods of estimation
  • Contrasting marginal and mixed effects models
  • Missing data and dropout: overview of concepts and methods
  • Missing data and dropouts: multiple imputation and weighting methods
  • Smoothing longitudinal data: semiparametric regression models
  • Sample size and power
  • Repeated measures and related designs
  • Multilevel models.