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

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

(Paperback)

Geert Molenberghs, Geert Verbeke,

Springer-Verlag New York Inc. (Publisher)

Published

2013

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Mathematics and Science Mathematics Probability and statistics

By: Geert Molenberghs, Geert Verbeke | Publisher: Springer-Verlag New York Inc. | Released: 28 Mar 2013

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₹9363.00

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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.

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