Linear Mixed Models for Longitudinal Data (Paperback, 1st ed. 2000. 2nd printing 2009)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	April 2009
First published:	April 2009
Authors:	Geert Verbeke • Geert Molenberghs
Dimensions:	235 x 155 x 33mm (L x W x T)
Format:	Paperback
Pages:	570
Edition:	1st ed. 2000. 2nd printing 2009
ISBN-13:	978-1-4419-0299-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	1-4419-0299-6
Barcode:	9781441902993

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