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Linear Mixed Models Longitudinal by Verbeke Geert (55 results)
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Hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
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Linear Mixed Models for Longitudinal Data (Springer Series in Statistics)
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Linear Mixed Models for Longitudinal Data (Springer Series in Statistics)
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Linear Mixed Models for Longitudinal Data (Springer Series in Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Linear Mixed Models for Longitudinal Data (Springer Series in Statistics)
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Linear Mixed Models for Longitudinal Data (Paperback)
Published by Springer-Verlag New York Inc., New York, NY, 2013
ISBN 10: 1475773846 ISBN 13: 9781475773842
Language: English
Paperback. Condition: new. Paperback. The SAS routines on mixed models have applications in many areas ofstatistics, especially biostatistics, but the procedures are not well-documented. Based on short courses given by the authors, this bookprovides practical guidance for SAS users. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Linear Mixed Models for Longitudinal Data (Hardcover)
Published by Springer-Verlag New York Inc., New York, NY, 2000
ISBN 10: 0387950273 ISBN 13: 9780387950273
Language: English
First Edition
Hardcover. Condition: new. Hardcover. 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. Several variations to the conventional linear mixed model are discussed (a heterogeity model, condional linear mid models). This book will be of interest to applied statisticians and biomedical researchers in industry, public health organizations, contract research organizations, and academia. The book is explanatory rather than mathematically rigorous. Most analyses were done with the MIXED procedure of the SAS software package, and many of its features are clearly elucidated. How3ever, some other commercially available packages are discussed as well. Great care has been taken in presenting the data analyses in a software-independent fashion.Geert Verbeke is Assistant Professor at the Biostistical Centre of the Katholieke Universiteit Leuven in Belgium. He received the B.S. degree in mathematics (1989) from the Katholieke Universiteit Leuven, the M.S. in biostatistics (1992) from the Limburgs Universitair Centrum, and earned a Ph.D. in biostatistics (1995) from the Katholieke Universiteit Leuven. Dr. Verbeke wrote his dissertation, as well as a number of methodological articles, on various aspects of linear mixed models for longitudinal data analysis. He has held visiting positions at the Gerontology Research Center and the Johns Hopkins University. Geert Molenberghs is Assistant Professor of Biostatistics at the Limburgs Universitair Centrum in Belgium. He received the B.S. degree in mathematics (1988) and a Ph.D. in biostatistics (1993) from the The SAS routines on mixed models have applications in many areas of statistics, especially biostatistics. Based on short courses given by the authors, this book provides guidance for SAS users. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Linear Mixed Models for Longitudinal Data (Paperback)
Published by Springer-Verlag New York Inc., New York, NY, 2009
ISBN 10: 1441902996 ISBN 13: 9781441902993
Language: English
First Edition
Paperback. Condition: new. Paperback. This paperback edition is a reprint of the 2000 edition.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. Several variations to the conventional linear mixed model are discussed (a heterogeity model, conditional linear mixed models). This book will be of interest to applied statisticians and biomedical researchers in industry, public health organizations, contract research organizations, and academia. The book is explanatory rather than mathematically rigorous. Most analyses were done with the MIXED procedure of the SAS software package, and many of its features are clearly elucidated. However, some other commercially available packages are discussed as well. Great care has been taken in presenting the data analyses in a software-independent fashion. This paperback edition is a reprint of the 2000 edition.This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Several variations to the conventional linear mixed model are discussed (a heterogeity model, conditional linear mixed models). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Linear Mixed Models for Longitudinal Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 178.43
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Condition: New. pp. 596.
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Linear Mixed Models for Longitudinal Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 187.40
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Add to basketCondition: New. pp. 596 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
