
Innovative Methods for Rare Disease Drug Development
Description
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Key Features:
Reviews critical issues (e.g., endpoint/margin selection, sample size requirements, and complex innovative design).
Provides better understanding of statistical concepts and methods which may be used in regulatory review and approval.
Clarifies controversial statistical issues in regulatory review and approval accurately and reliably.
Makes recommendations to evaluate rare diseases regulatory submissions.
Proposes innovative study designs and statistical methods for rare diseases drug development, including n-of-1 trial design, adaptive trial design, and master protocols like platform trials.
Provides insight regarding current regulatory guidance on rare diseases drug development like gene therapy.
Reviews / Votes
The very limited sample size of patients with rare disease brings a lot of challenges in both design and analysis of clinical trials as compared to the other common disease. To promote rare diseases drug development, innovative thinking is not only encouraged by FDA but also needed for the pharmaceutical companies. This book is published in a very timely manner that enable the promoting of these innovative design and analysis. I believe that it will certainly not only inspire the statisticians working in rare disease, but also could shed some light on the solutions of unique situation for clinical trials with common disease. Therefore, I strongly recommend this book to all the statisticians who work on clinical trials, not only those in rare disease but also on other indications.- Meijing Wu, Journal of Biopharmaceutical Statistics, August 2021
"I recommend this book to researchers who want to delve into the world of rare-disease trials, and in the meanwhile would encourage them to actively think about the problems also from a Bayesian perspective."
- Haiyan Zheng, International Society for Clinical Biostatistics, 72, 2021 "I recommended this book not only to statisticians and physicians working on drug development but also to scientists/professionals involving in patients' access in personalized medicine. The book is directly not only useful for trial study design for rare disease for regulatory approval but also helpful on providing statistical concepts for other type of studies tackling many statistical issues such as limited numbers of research objects."
Min-Hua Jen, Eli Lilly, Bracknell UK, Journal of the Royal Statistical Society: Series A, 2022.
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Person
Squibb, Plainsboro, NJ. He was elected Fellow of the American Statistical Association and an elected member of the ISI (International Statistical Institute). Dr. Chow is Editor-in-Chief of the Journal of Biopharmaceutical Statistics and Biostatistics Book Series, Chapman and Hall/CRC Press, Taylor & Francis, New York. Dr. Chow is the author or co-author of over 300 methodology papers and 30 books.
Content
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