Linear Mixed Models for Longitudinal Data (Paperback, Softcover reprint of the original 1st ed. 2000)

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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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Product 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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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Springer Series in Statistics

Release date

March 2013

Availability

Expected to ship within 10 - 15 working days

First published

2000

Authors

,

Dimensions

235 x 155 x 31mm (L x W x T)

Format

Paperback

Pages

568

Edition

Softcover reprint of the original 1st ed. 2000

ISBN-13

978-1-4757-7384-2

Barcode

9781475773842

Categories

LSN

1-4757-7384-6



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