"... an excellent textbook on this important topic. In general, the book is well written, easy to navigate, and definitely consistent with the high quality of other books in Monographs on Statistics and Applied Probability series by CRC Press. ... a well-structured and clearly presented textbook on randomized response-adaptive designs. ... Because the book offers a well-balanced mix of practical applications and theoretical results, a wide range of readers, from graduate students to applied statisticians with solid mathematical background, will find the book useful. Readers may find the authors' emphasis on the use of simulation methods to compare methods particularly useful." -The American Statistician, August 2015 "Atkinson and Biswas address [the] questions throughout in a thorough and interesting manner via a logical structure that makes navigating the text a simple and intuitive exercise. ... ideal for anyone looking to learn more about the growing field of response adaptive designs. An easy read, it is well written from the off set, logically advancing the mathematical complexity as the chapters proceed, making it useful for those new to the field of clinical trial design and seasoned trial statisticians alike. Through its use of numerous examples, it clearly achieves its stated aim; to elucidate the practical usefulness of this class of designs. Given their increasing popularity, it may well be one book you should consider adding to your collection sooner rather than later." -ISCB News, 59, June 2015 "This book is clearly written and well-structured for a graduate course as well as consulting statisticians. ... this book is particularly useful for the development of orphan drugs." -Biometrics, March 2015 "... the book covers a very broad range of response-adaptive designs and related issues. ... the book is comprehensively written and gives many exemplary applications from clinical practice. At the same time, the book is mathematically sound and also provides the underlying mathematical formulas and derivations. For these reasons, the book offers important content for applied statisticians but also for more theoretically interested mathematicians." -Biometrical Journal, 2014