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Longitudinal data analysis for biomedical and behavioral sciences
This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data.
Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include:
* Repeated measures analysis of variance
* Multivariate analysis of variance for repeated measures
* Random-effects regression models (RRM)
* Covariance-pattern models
* Generalized-estimating equations (GEE) models
* Generalizations of RRM and GEE for categorical outcomes
Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge.
This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.
- Sales Rank: #899872 in Books
- Published on: 2006-04-07
- Original language: English
- Number of items: 1
- Dimensions: 9.70" h x 1.00" w x 6.40" l, 1.38 pounds
- Binding: Hardcover
- 360 pages
Review
"…a useful resource for students and mathematically inclined practitioners…I would not hesitate to recommend this book…" (Journal of the American Statistical Association, September 2007)
"Comparing this book with…other books on this subject…this is certainly one of the foremost." (Journal of Biopharmaceutical Statistics, Vol. 17, Issue 3, 2007)
"...this book represents a unique and important contribution to the field of psychology." (PsycCRITIQUES, March 14, 2007)
"This innovative classroom-tested book is…highly recommended." (CHOICE, October 2006)
From the Back Cover
Longitudinal data analysis for biomedical and behavioral sciences
This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data.
Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include:
- Repeated measures analysis of variance
- Multivariate analysis of variance for repeated measures
- Random-effects regression models (RRM)
- Covariance-pattern models
- Generalized-estimating equations (GEE) models
- Generalizations of RRM and GEE for categorical outcomes
Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge.
This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.
About the Author
DONALD HEDEKER, PHD, is Professor of Biostatistics in the Division of Epidemiology and Biostatistics, School of Public Health at the University of Illinois at Chicago. He is a Fellow of the American Statistical Association and the author of numerous peer-reviewed papers.
ROBERT D. GIBBONS, PHD, is Director of the Center for Health Statistics; Professor of Biostatistics in the Division of Epidemiology and Biostatistics, School of Public Health; and Professor of Psychiatry in the College of Medicine, all at the University of Illinois at Chicago. He is a Fellow of the American Statistical Association and the author of numerous peer-reviewed papers.
Most helpful customer reviews
37 of 37 people found the following review helpful.
good book with good coverage
By Michael R. Chernick
This is a good book on this topic. It is not the best of a long list of excellent and highly competitive texts published by Wiley and Springer-Verlag but there cannot be too many books available on this important problem. This text may be better suited for some applied researchers who do not need the theoretical treatment that is given in the Rubin-Little, Verbeke-Molenberghs or the Fitzmaurice texts. The text by Rubin and Little deals with missing data problems in general and not just in the context of longitudinal data. But the Pattern Mixture models developed by Little are commonly used in longitudinal analysis.
0 of 0 people found the following review helpful.
Five Stars
By Amazon Customer
Great book. Very well written. Highly recommended.
3 of 8 people found the following review helpful.
Nice Book
By J. Rodolfo Mendoza Blanco
A good general book on Anova, Manova, Fixed and Random Effects longitudinal models.
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