Cross-over Trials in Clinical Research
2nd Revised edition
By (author) Stephen S. Senn
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Cross-over Trials in Clinical Research by Stephen S. Senn
Book DescriptionCross--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.
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Book DetailsISBN: 9780471496533
(231mm x 162mm x 30mm)
Imprint: John Wiley & Sons Ltd
Publisher: John Wiley and Sons Ltd
Publish Date: 18-Jul-2002
Country of Publication: United Kingdom
Books By Author Stephen S. Senn
Statistical Issues in Drug Development, Hardback (January 2008)
There are many books on medical statistics that explain to the physician how to calculate various common statistics and how to perform various tests. Many of them present a simplified and distorted view of statistics, which gives no impression of the philosophical difficulties that the science has to confront.
Dicing with Death, Hardback (November 2003)» View all books by Stephen S. Senn
Explanation of the whys and hows of statistical reasoning in medicine and health.
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