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

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Linear Mixed Models for Longitudinal Data (Springer Series in Statistics) image
ISBN-10:

1475773846

ISBN-13:

9781475773842

Author(s): Molenberghs, Geert; Verbeke, Geert
Edition: Softcover reprint of the original 1st ed. 2000
Released: Mar 28, 2013
Publisher: Springer
Format: Paperback, 590 pages
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Description:

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.

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