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9780367384913

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This book could serve as a text for an advanced course at the Ph.D. level and as a reference to analysts who are familiar with basic statistical methodology for mixed effects models. --Tena I. Katsaounis, Technometrics, November 2011 What I was most impressed by was the sheer breadth of complex models considered. Furthermore, unlike much of the research in the area, the book examines each of the complications, not merely in isolation, but in various combinations. ... Considering the complexity of some of these models, the fact that the book does a good job of describing how to fit them in a clear manner is noteworthy. ... The book is clear and lucidly written. It is set at an appropriate level for graduates and should be accessible to practitioners with at least some knowledge of mixed model methodology. It should also be of interest to researchers who might want to learn different modelling techniques. --John T. Ormerod, Statistics in Medicine, 2011, 30 ... as an introduction to what it says in the title of the book, the author has done an excellent job--the coverage is pretty comprehensive, detailed without too much mathematical technicality, and (most importantly) readable. I believe that it will become a useful reference in many libraries, personal and public. --International Statistical Review (2010), 78, 3

This book could serve as a text for an advanced course at the Ph.D. level and as a reference to analysts who are familiar with basic statistical methodology for mixed effects models. --Tena I. Katsaounis, Technometrics, November 2011 What I was most impressed by was the sheer breadth of complex models considered. Furthermore, unlike much of the research in the area, the book examines each of the complications, not merely in isolation, but in various combinations. ... Considering the complexity of some of these models, the fact that the book does a good job of describing how to fit them in a clear manner is noteworthy. ... The book is clear and lucidly written. It is set at an appropriate level for graduates and should be accessible to practitioners with at least some knowledge of mixed model methodology. It should also be of interest to researchers who might want to learn different modelling techniques. --John T. Ormerod, Statistics in Medicine, 2011, 30 ... as an introduction to what it says in the title of the book, the author has done an excellent job--the coverage is pretty comprehensive, detailed without too much mathematical technicality, and (most importantly) readable. I believe that it will become a useful reference in many libraries, personal and public. --International Statistical Review (2010), 78, 3

Author Information

Lang Wu is an associate professor in the Department of Statistics at the University of British Columbia in Vancouver, Canada.

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