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.
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"In the second edition, updated from the original published in 1989, the authors have added discussions of new more comprehensive (downloadable) datasets and some additional topics... Substantially updated with more than 130 new references, the book has been thoroughly modernized to reflect new developments in this area. Among the new material added to the book are a chapter on bioequivalence and a discussion of new methods for longitudinal and categorical data. This book continues to be a recommended choice as a valuable reference for clinical statisticians and those who study medical trials where treatments through cross-over design are a feasible approach. For those who already own the first edition, updating to the second will help keep you current on recent developments in this area." -Journal of the American Statistics Association, March 2004 Praise for the First Edition: ..."this book will remain the standard reference on the subject for decades to come." -Mathematical Gazette ..."a refreshing mixture of theory and practice...This book will be useful to all medical statisticians and anyone else involved in cross-over trials. It is pitched at a level suitable not only for practitioners, but for senior and postgraduate students as well." -Short Book Reviews of the ISI
Pharmaceutical companies throughout the world invest enormous resources in drug development and testing. The cross-over trial is an important type of trial in which each subject acts as its own control, leading to more accurate treatment comparisons. Given the high cost of clinical trials, the effective use of resources is vital and this requires a sound appreciation of the statistical issues in the design and analysis of cross-over trials. Representing the state of the art at present in cross-over trials, this text aims to act as a basic reference text for future research as well as a source of practical and useful advice for statisticians and clinicians involved in the planning and analysis of cross-over trials.
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