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Cross-Over Experiments: Design, Analysis and Application
Contributor(s): Ratkowsky, David (Author), Alldredge, Richard (Author), Evans, Marc A. (Author)
ISBN: 0824788923     ISBN-13: 9780824788926
Publisher: CRC Press
OUR PRICE:   $308.75  
Product Type: Hardcover - Other Formats
Published: December 1992
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Annotation: Developing a model-based approach that enables any cross-over trial, of any degree of imbalance, to be analyzed both for direct effects and for residual effects, using consistent procedures that employ commercially available statistical software, this text offers a guide to the analysis of cross-over designs.; Illustrating practical applications throughout with examples, this book: emphasizes the importance of choosing highly efficient designs that separate treatment and carryover effects; demonstrates the exact methodology needed to handle the analysis of data; presents a new methodology for the analysis of binary and categorical data; and considers the effects of blocking. The appendices facilitate the choosing of an appropriate design for every experimental need.
Additional Information
BISAC Categories:
- Medical | Research
- Mathematics | Probability & Statistics - General
Dewey: 610.724
LCCN: 92035540
Series: Statistics: A Textbooks and Monographs
Physical Information: 1.1" H x 5.96" W x 9.18" (2.04 lbs) 466 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Developing a model-based approach that enables any cross-over trial, of any degree of imbalance, to be analyzed both for direct effects and for residual effects, using consistent procedures that employ commercially available statistical software, this text offers a guide to the analysis of cross-over designs.;Illustrating practical applications throughout with examples, this book: emphasizes the importance of choosing highly efficient designs that separate treatment and carryover effects; demonstrates the exact methodology needed to handle the analysis of data; presents a new methodology for the analysis of binary and categorical data; and considers the effects of blocking. The appendices facilitate the choosing of an appropriate design for every experimental need.