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(1 reviews) Author: Byron Jones ISBN : 9780412300004 New from $241.26 Format: PDF
Free download PRETITLE Design and Analysis of Cross-Over Trials (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) [Hardcover] POSTTITLE from 4shared, mediafire, hotfile, and mirror link 
Completely revised and updated, the 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 this edition include a new chapter on bioequivalence, methods for analyzing longitudinal continuous and categorical data, extensive real-life examples, and SAS code that allows readers to implement the analyses described. With downloadable SAS programs, thorough treatment of design issues, and a comprehensive catalog of designs, this edition sets a new standard for texts in this area and will undoubtedly be of direct practical value for years to come.
Direct download links available for PRETITLE Design and Analysis of Cross-Over Trials (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) [Hardcover] POSTTITLE - Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 98)
- Hardcover: 352 pages
- Publisher: Chapman and Hall/CRC (June 1, 1989)
- Language: English
- ISBN-10: 0412300001
- ISBN-13: 978-0412300004
- Product Dimensions: 8.5 x 5.6 x 0.9 inches
- Shipping Weight: 1 pounds
Design and Analysis of Cross-Over Trials 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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