Linear Mixed Models for Longitudinal Data (Springer Series in Statistics)

by Geert Verbeke and Geert Molenberghs

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Book cover for Linear Mixed Models for Longitudinal Data

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This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place.
Most analyses were done with the MIXED procedure of the SAS software package, but the data analyses are presented in a software-independent fashion.
  • ISBN10 038722775X
  • ISBN13 9780387227757
  • Publish Date December 2000
  • Publish Status Active
  • Publish Country US
  • Imprint Springer-Verlag New York Inc.
  • Format eBook
  • Language English