(1 reviews) Author: Byron Jones ISBN : 9780412606403 New from $82.57 Format: PDFThe first edition of Design and Analysis of Cross-Over Trials quickly became the standard reference on the subject and has remained so for more than 12 years. In that time, however, the use of cross-over trials has grown rapidly, particularly in the pharmaceutical arena, and researchers have made a number of advances in both the theory and methods applicable to these trials.
Completely revised and updated, the long-awaited second edition of this classic text retains its predecessor's careful balance of theory and practice while incorporating new approaches, more data sets, and a broader scope. Enhancements in the second edition include:
- A new chapter on bioequivalence
- Recently developed methods for analyzing longitudinal continuous and categorical data
- Real-world examples using the SAS system
- A comprehensive catalog of designs, datasets, and SAS programs available on a companion Web site at www.crcpress.com
The authors' exposition gives a clear, unified account of the design and analysis of cross-over trials from a statistical perspective along with their methodological underpinnings. With SAS programs and a thorough treatment of design issues, Design and Analysis of Cross-Over Trials, Second Edition sets a new standard for texts in this area and undoubtedly will be of direct practical value for years to come.
- Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 98)
- Hardcover: 408 pages
- Publisher: Chapman and Hall/CRC; 2 edition (March 12, 2003)
- Language: English
- ISBN-10: 0412606402
- ISBN-13: 978-0412606403
- Product Dimensions: 1 x 6.3 x 9 inches
- Shipping Weight: 1.5 pounds (View shipping rates and policies)
Design and Analysis of Cross-Over Trials, Second Edition PDF
Like most books in this series of monographs on statistics and applied probability this book is a well-written and concise treatment of the topic by an expert in the field. In addition to this book I have a similar text by Stephen Senn. I prefer Senn's book because of his writing style and his emphasis on the controversial issues that arise when considering a cross-over design. Also doing the analysis correctly in SAS can be a little tricky and Senn points out the care needed to correctly estimate the components of bariance particularly the within subject variability.By Michael R. Chernick
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