10% off all books and free delivery over £50
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Clinical Trial Optimization Using R

View All Editions (2)

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Clinical Trial Optimization Using R Synopsis

Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies. It provides the clinical researcher with a powerful evaluation paradigm, as well as supportive R tools, to evaluate and select among simultaneous competing designs or analysis options. It is applicable broadly to statisticians and other quantitative clinical trialists, who have an interest in optimizing clinical trials, clinical trial programs, or associated analytics and decision making. This book presents in depth the Clinical Scenario Evaluation (CSE) framework, and discusses optimization strategies, including the quantitative assessment of tradeoffs. A variety of common development challenges are evaluated as case studies, and used to show how this framework both simplifies and optimizes strategy selection. Specific settings include optimizing adaptive designs, multiplicity and subgroup analysis strategies, and overall development decision-making criteria around Go/No-Go. After this book, the reader will be equipped to extend the CSE framework to their particular development challenges as well.

About This Edition

ISBN: 9780367261252
Publication date:
Author: Alex Quintiles, Inc, Overland Park, Kansas, USA Dmitrienko
Publisher: Chapman & Hall/CRC an imprint of Taylor & Francis Ltd
Format: Paperback
Pagination: 319 pages
Series: Chapman & Hall/CRC Biostatistics Series
Genres: Clinical trials
Probability and statistics
Epidemiology and Medical statistics