Description: Linear Mixed Models for Longitudinal Data, Hardcover by Verbeke, Geert; Molenberghs, Geert; Bickel, P. (EDT); Diggle, P. (EDT); Fienberg, S. (EDT); Krickeberg, K. (EDT); Olkin, I. (EDT); Wermuth, N. (EDT); Zeger, S. (EDT), ISBN 0387950273, ISBN-13 9780387950273, Like New Used, Free shipping in the US 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 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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Book Title: Linear Mixed Models for Longitudinal Data
Number of Pages: Xxii, 568 Pages
Language: English
Publication Name: Linear Mixed Models for Longitudinal Data
Publisher: Springer New York
Publication Year: 2000
Subject: Probability & Statistics / General, Applied, Life Sciences / Biology
Features: Reprint
Item Weight: 37.1 Oz
Type: Textbook
Subject Area: Mathematics, Science
Item Length: 9.3 in
Author: Geert Verbeke, Geert Molenberghs
Series: Springer Series in Statistics Ser.
Item Width: 6.1 in
Format: Hardcover
