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Cross-over Trials in Clinical Research, 2nd Edition

ISBN: 978-0-471-49653-3

July 2002

340 pages

Description
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.
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.
About the Author
Stephen Senn has worked for the NHS in England, as a lecturer in Scotland and in drug development in Switzerland (with CIBA-Geigy). Until recently he was Professor of Pharmaceutical and Health Statistics at University College London but since September 2003 he has been  Professor of Statistics at Glasgow University. His books, Cross-over Trials in Clinical Research (1993, 2nd edition 2002) and Statistical Issues in Drug Development (1997) are published by Wiley and his latest book, Dicing with Death (2003) by Cambridge University Press. In 2001, he was the first recipient of the George C Challis award for biostatistics of the University of Florida. He is a member of the editorial boards of Statistics in Medicine, Statistical Methods in Medical Research, Pharmaceutical Statistics and Applied Clinical Trials and is a section editor for the Wiley Statistics in Practice series.