Description: Linear Mixed Models for Longitudinal Data Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Geert Verbeke, Geert Molenberghs Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781475773842, 978-1475773842 Synopsis 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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Location: Aldershot
End Time: 2025-01-04T09:06:38.000Z
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Book Title: Linear Mixed Models for Longitudinal Data
Number of Pages: 568 Pages
Language: English
Publication Name: Linear Mixed Models for Longitudinal Data
Publisher: Springer-Verlag New York Inc.
Publication Year: 2013
Subject: Engineering & Technology, Mathematics
Item Height: 235 mm
Item Weight: 902 g
Type: Textbook
Author: Geert Molenberghs, Geert Verbeke
Series: Springer Series in Statistics
Item Width: 155 mm
Format: Paperback