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Verbeke, Geert; Molenberghs, Geert - Linear Mixed Models for Longitudinal Data - 9780387950273 - V9780387950273
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Linear Mixed Models for Longitudinal Data

€ 180.76
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Description for Linear Mixed Models for Longitudinal Data Hardcover. Provides a comprehensive treatment of linear mixed models for continuous longitudinal data. This book emphasises on exploratory data analysis for various aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Series: Springer Series in Statistics. Num Pages: 568 pages, 33 black & white illustrations, biography. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational. Dimension: 240 x 165 x 37. Weight in Grams: 1000.
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.

Product Details

Format
Hardback
Publication date
2001
Publisher
Springer-Verlag New York Inc. United States
Number of pages
590
Condition
New
Series
Springer Series in Statistics
Number of Pages
568
Place of Publication
New York, NY, United States
ISBN
9780387950273
SKU
V9780387950273
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Linear Mixed Models for Longitudinal Data
From the reviews: MATHEMATICAL REVIEWS "This book emphasizes practice rather than mathematical rigor and the majority of the chapters are explanatory rather than research oriented. In this respect, guidance and advice on practical issues are the main focus of the text. Hence it will be of interest to applied statisticians and biomedical researchers in industry, particularly ... Read more

Goodreads reviews for Linear Mixed Models for Longitudinal Data


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