Cross-over Trials in Clinical Research (Statistics in Practice)

Cross-over Trials in Clinical Research (Statistics in Practice)

by StephenSSenn (Author)

Synopsis

Cross--over trials are an important class of design used in the pharmaceutical industry and medical research, and their use continues to grow. Cross--over Trials in Clinical Research, Second Edition has been fully updated to include the latest methodology used in the design and analysis of cross--over trials. It includes more background material, greater coverage of important statistical techniques, including Bayesian methods, and discussion of analysis using a number of statistical software packages. Comprehensive coverage of the design and analysis of cross--over trials. Each technique is carefully explained and the mathematics is kept to a minimum. Features many real and original examples, taken from the author's vast experience. Includes discussion of analysis using SAS, S--Plus and, GenStat, StatXact and Excel. Written in a style suitable for statisticians and physicians alike. Computer programs to accompany the examples in the book can be downloaded from the Web Primarily aimed at statisticians and researchers working in the pharmaceutical industry, the book will also appeal to physicians involved in clinical research and students of medical statistics.

$133.97

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 364
Edition: 2nd Edition
Publisher: Wiley-Blackwell
Published: 18 Jul 2002

ISBN 10: 0471496537
ISBN 13: 9780471496533

Media Reviews
The book by Senn was the very first volume in Wiley's excellent series, Statistics in Practice . Here, 10 years later, it is now the first of the books in that series to reappear in a second addition. (Technometrics, May 2004) ...well structured and easy to read...incredibly useful... (Applied Clinical Trials, December 2002) ...an excellent reference source and is easily readable. (The Statistician) ...explanations are kept as non-technical as possible, although they do not lack statistical rigour...well worth reading... (Pharmaceutical Statistics, Vol 2, 2003) ...the main additions can be seen as ...adding to the arguments for the author's view on carryover affects... (Clinical Trials, No.1 2004)