Linear Mixed Models in Practice: A SAS-Oriented Approach (Lecture Notes in Statistics) [Paperback]

Geert Verbeke (Editor), Geert Molenberghs (Editor)

Book Description

ISBN-10: 0387982221 | ISBN-13: 978-0387982229 | Publication Date: January 15, 1997 | Edition: 1

This is author-approved bcc: This book provides a comprehensive treatment of linear mixed models, a technique devised to analyze continuous correlated data. It focuses on examples from designed experiments and longitudinal studies. The target audience includes applied statisticians and biomedical researchers in industry, public health organizations, contract research organizations, and academia. The book is explanatory rather than mathematical rigorous. Although most analyses were done with the MIXED procedure of the SAS software package, and many of its features are clearly elucidated, considerable effort was spent in presenting the data analyses in a software-independent fashion. Geert Verbeke is Assistant Professor at the Biostatistical Centre for Clinical Trials 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 PhD in biostatistics (1995) from the Katholieke Universiteit Leuven. Dr. Verkeke wrote his dissertation, as well as a number of methodological articles, on various aspects on linear mixed models for longitudinal data analysis. He has held visiting positions at the Gerontology Researh Center and the Johns Hopkins University (Baltimore, MD). 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 PhD in biostatistics (1993) from the Universiteit Antwerpen. Dr. Molenberghs published methodological work on the analysis of non-response, and non-compliance in clinical trials. He serves as an associate editor for Biometrics and Applied

Editorial Reviews

About the Author

Geert Verbeke is Assistant Professor at the Biostatistical Centre for Clinical Trials 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 PhD in biostatistics (1995) from the Katholieke Universiteit Leuven. Dr. Verbeke wrote his dissertation, as well as a number of methodological articles, on various aspects on linear mixed models for longitudinal data analysis. He has held visiting positions at the Gerontology Researh Center and the Johns Hopkins University (Baltimore, MD). 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 PhD in biostatistics (1993) from the Universiteit Antwerpen. Dr. Molenberghs has published methodological work on the analysis of non-response, and non-compliance in clinical trials.

Product Details

• Paperback: 306 pages
• Publisher: Springer; 1 edition (January 15, 1997)
• Language: English
• ISBN-10: 0387982221
• ISBN-13: 978-0387982229
• Product Dimensions: 9.2 x 6.1 x 0.8 inches
• Shipping Weight: 1 pounds
• Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #3,025,933 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

24 of 24 people found the following review helpful:

5.0 out of 5 stars great book on important topic, February 9, 2008

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Linear Mixed Models in Practice: A SAS-Oriented Approach (Lecture Notes in Statistics) (Paperback)

I agree with the brief comments of the other Amazon reviewer. However, these authors have updated the material in a book just published in 2000 "Linear Mixed Models for Longitudinal Data". The approach is the same in both books but the new one contains a lot of new advances that have occurred over the last three years. If you want a thorough account with the latest developments buy the other book. I have given a thorough review of the other book for Amazon. On the other hand if you just want to learn longitudinal data analysis this monograph will work for you and may be less expensive since it is in paperback while the other book is only currently in hardcover. Both books illustrate examples using SAS Proc Mixed.

15 of 15 people found the following review helpful:

5.0 out of 5 stars Associate Professor of Epidemiology, May 9, 2000

By A Customer

This review is from: Linear Mixed Models in Practice: A SAS-Oriented Approach (Lecture Notes in Statistics) (Paperback)

Linear mixed model has been widely used in biomedical reserach, such as longitudinal observational studies and clinical trials. However, the model is theoretically complicated, and is hard to use it. This book not only covers statistical methodologies related to this model, but also gives excellent examples which can teach the readers how to use it.