Clinical Trials: A Methodologic Perspective

by Steven Piantadosi

Book Overview

Presents elements of clinical trial methods that are essential in planning, designing, conducting, analyzing, and interpreting clinical trials with the goal of improving the evidence derived from... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 0471163937
• ISBN13: 9780471163930
• Release Date: April 1997
• Publisher: Wiley-Interscience
• Length: 624 Pages
• Weight: 2.40 lbs.
• Dimensions: 1.5" x 6.4" x 9.6"

Customer Reviews

unusually well-written text on the statistical aspects

This book is very unique. Basic statistical concepts are clearly presented but only those concepts that are important in clinical trials. The author presents all the issues with clinical trials including ethical issues with some historical perspective. Principles of randomization and statistical design are clearly presented. It offers discussion of Bayesian techniques and meta-analyses, cross-over designs and group sequential methods (interim analyses). For statisticians doing clinical research like myself, this is a valuable reference source.

Clinical Trials: A Methodologic Perspective Second Edition

This is an excellent book. It outlines the important issues of clinical trials well. It is understandable and thorough. A must for anyone who is interested in actually doing trials. Not a good book for a brief, superficial overview.

The best start in clinical trial

The amount of knowledge and the scope of this book are the exact need for the first contact with clinical trials. Yet, it is not a simple or superficial text. Instead, it not only will guide the reader through the basics of trials (and there is so much that is not basic in it) but the author points the reader to hundreds of papers and books that are landmarks. I regard this book itself as one of these landmarks!

Most up-to-date and thorough cover of Clinical Trials

Covers many aspects of trials (particularly facets of design and analysis)not yet covered by other books, eg randomisation with minimisation, and meta-analysis of trial results. Readable, applicable, practical, good references, well structured.