Cross–over Trials in Clinical Research

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.

Spis treści:
Preface to the Second Edition.
Preface to the First Edition.
1. Introduction.
2. Some Basic Considerations Concerning Estimation in Clinical Trials.
3. The AB/BA Design with Normal Data.
4. Other Outcomes and the AB/BA Design.
5. Normal Data from Designs with Three or More Treatments.
6. Other Outcomes from Designs with Three or More Treatments.
7. Some Special Designs.
8. Graphical and Tabular Presentation of Cross–over Trials.
9. Various Design Issues.
10. Mathematical Approaches to Carry–over.
References.
Author Index.
Subject Index.

Okładka tylna:
Cross–over trials are an important class of design used in the pharmaceutical industry and medical research, and their use continues to grow. Cr oss–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.