Clinical Trial Optimization Using R Hardback
Edited by Alex (Quintiles, Inc., Overland Park, Kansas, USA) Dmitrienko, Erik Pulkstenis
Part of the Chapman & Hall/CRC Biostatistics Series series
Hardback
Description
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.
Information
-
Out of stock
- Format:Hardback
- Pages:338 pages, 100 Illustrations, black and white
- Publisher:Taylor & Francis Inc
- Publication Date:07/06/2017
- Category:
- ISBN:9781498735070
Information
-
Out of stock
- Format:Hardback
- Pages:338 pages, 100 Illustrations, black and white
- Publisher:Taylor & Francis Inc
- Publication Date:07/06/2017
- Category:
- ISBN:9781498735070
