Cross-Over Experiments: Design, Analysis and Application [Paperback]

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.Introduction to the analysis of cross-over designs - basic principles and some useful tools; Latin square designs; the 2-treatment, 2-period, 2-sequence design; modifications of the 2-treatment, 2-period, 2-sequence design; cross-over designs with variance balance; cross-over designs lacking variance balance; the analysis of categorical data from cross-over designs; ordinary least squares estimation versus other criteria of estimation - justification for using the methodology presented in this book; other topics in cross-over designs.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 thrRatkowsky\, David; Alldredge\, Richard; Evans\, Marc A.US? 1993 by Taylor & Francis Group, LLC