Read Design and Analysis of Cross-Over Trials, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Byron Jones Online

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The first edition of Design and Analysis of Cross Over Trials quickly became the standard reference on the subject and has remained so for 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, 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....

Title : Design and Analysis of Cross-Over Trials, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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ISBN : 0412606402
Format Type : Hardcover
Language : English
Publisher : Chapman and Hall CRC 2 edition March 12, 2003
Number of Pages : 408 pages
File Size : 684 KB
Status : Available For Download
Last checked : 21 Minutes ago!

Design and Analysis of Cross-Over Trials, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) Reviews

  • Michael R. Chernick
    2019-11-29 23:18

    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.