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Analysis of Longitudinal Data
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Binding: Hardcover
Dewey Decimal Number: 519.535
EAN: 9780198522843
ISBN: 0198522843
Label: Oxford University Press, USA
Manufacturer: Oxford University Press, USA
Number Of Items: 1
Number Of Pages: 272
Publication Date: August 25, 1994
Publisher: Oxford University Press, USA
Studio: Oxford University Press, USA
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Editorial Review:
This book provides a self-contained account of a wide range of statistical methods for the analysis of longitudinal data. Emphasizing the biomedical and agricultural sciences, the book covers each method's applicability and underlying statistical theory. Major topics include: design considerations, exploratory methods of analysis, linear models for continuous data, generalized linear models for discrete data, and models and methods for handling data with missing values. Worked examples are presented throughout and an appendix covers some basic statistical principles. This cogent and clear text will be welcomed by students across a wide range of the sciences.
Customer Reviews
Average Rating: 
Rating: - they were the first and they are still one of the best
The first edition of this book was a major success as for the first time advanced methods for the use of longitudinal data were introduced. Longitudinal data (sometimes also referred to as repeated measures data) is very important in the analysis of clinical trial data. This is because many important trial endpoints are collected for each patient at several visits over the course of the trial and the study sponsor (usually the manufacturer of a drug or a device)will want to see how the measures ... Read More
Rating: - the long awaited second edition
The second edition is much like the first and is at least a year behind the original schedule. See my review of the first edition to understand why this is a classical. The promised advances in missing data are included and a new author Haegerty has been added. The missing data chapter is three times longer than in the first edition. They cover what they promised. They also mention some of the econometrics literature including the work of Nobel Laureate James Heckman but admit in the preface ... Read More
Rating: - already the classic book on longitudinal data analysis
When this book came out in 1994 there was a great need to look differently at clinical data on subjects. Typically such data would have repeated measurements over time for many subjects but for only a few time points (say three to five). Standard analysis of variance methods do not properly account for within patient correlation between measurements. Time series analysis generally is good for treating long series (but usually only one or a few). In the clinical setting we often are considering hundreds ... Read More
Rating: - Excellent, highly recommended!
This book was written by three very prestigious authors, two of which work at The Johns Hopkins University(Dr. Liang and Dr. Zeger), and Dr. Diggle, who is working in England. These three are very well known and respected characters in their field of work, and this book is an excellent reflection upon the research and work they have done over the years. Watch out! the key word is: GEE
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