It is interesting to read this book on Bayesian biostatistics and diagnostic medicine. this book has several unique features. an excellent introductory textbook on Bayesian methods and their application in diagnostic medicine. Non-experienced statisticians may also find that the systematic overview of the classification and purposes of the three phases in clinical trials and the basic Bayesian theory are useful references and would benefit from the program codes, particularly WinBUGS codes. --Pharmaceutical Statistics, 2011, 10 .the inclusion of plenty of real examples plus details of the necessary BUGS code was a very positive attribute. Some of the data sets are available for the reader to analyse and this would further enhance understanding. Overall, it is certainly a useful read or reference book for a practicing statistician with a good baseline theoretical knowledge who would like to expand their interest in this specific field of application.

--A. Wade, University College London, Journal of the Royal Statistical Society, Series A, 2010 This book is quite a good one for a statistician that is (or training to be) a statistical consultant to a cancer center department of diagnostic imaging . If you are such a person, this book should be in your library. --David Booth, Technometrics, August 2010 Drawing on his collaborative experiences with medical researchers and his long-standing interests in Bayesian methods, the author of this book shows how the Bayesian approach can be used to advantage when medical diagnosis is based on data with uncertainty. a general strength of the book is careful discussion of study designs and protocols, which is a bonus relative to many biostatistical books written from a more narrow theory and methods perspective. A real strength is the strong integration between models and concepts on the one hand, and real studies on the other hand. The inclusion of WinBUGS code is also a plus. this book is highly recommended for anyone whose interests touch on the statistical side of diagnostic medicine.

--Biometrics, March 2009 d of application. --A. Wade, University College London, Journal of the Royal Statistical Society, Series A, 2010 This book is quite a good one for a statistician that is (or training to be) a statistical consultant to a cancer center department of diagnostic imaging . If you are such a person, this book should be in your library. --David Booth, Technometrics, August 2010 Drawing on his collaborative experiences with medical researchers and his long-standing interests in Bayesian methods, the author of this book shows how the Bayesian approach can be used to advantage when medical diagnosis is based on data with uncertainty. a general strength of the book is careful discussion of study designs and protocols, which is a bonus relative to many biostatistical books written from a more narrow theory and methods perspective. A real strength is the strong integration between models and concepts on the one hand, and real studies on the other hand. The inclusion of WinBUGS code is also a plus.

this book is highly recommended for anyone whose interests touch on the statistical side of diagnostic medicine. --Biometrics, March 2009 e one hand, and real studies on the other hand. The inclusion of WinBUGS code is also a plus. this book is highly recommended for anyone whose interests touch on the statistical side of diagnostic medicine. --Biometrics, March 2009.