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Book Title: Analysis of Longitudinal Data (2nd Ed)

ISBN: 0198524846

Book Author(s): Peter Diggle, Patrick Heagerty, Kung-Yee Liang and Scott Zeger

Book Publisher: Oxford University Press

Date of Publication: 1 August 2002

Cost: 95 US

Pages: 396



The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for time-dependent predictors where there may be feedback between the predictor and response variables. It also contains the many useful features of the previous edition such as, design issues, exploratory methods of analysis, linear models for continuous data, and models and methods for handling data and missing values.

Table of Contents

  1. Introduction
  2. Design considerations
  3. Exploring longitudinal data
  4. General linear models
  5. Parametric models for covariance structure
  6. Analysis of variance methods
  7. Generalized linear models for longitudinal data
  8. Marginal models
  9. Random effects models
  10. Transition models
  11. Likelihood-based methods for categorical data
  12. Time-dependent covariates
  13. Missing values in longitudinal data
  14. Additional topics
Topic revision: r4 - 13 Aug 2010 16:52:04, theresiafreska
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