... a most timely and welcome book by two well known experts in this area. ... I would give this book 8 points out of 10.
- Walter Krämer in Statistics Papers, 2011
Drs. Krzanowski and Hand provide a thorough overview of ROC curve analysis, similar to books already available, but with a more comprehensive approach, including many recent advancements from the literature. ... Broad in scope, it covers not only application to medical testing but extends to other fields where ROC analysis can be very useful: geosciences, finance, psychology, and sociology. ... this book is an excellent enhancement to the biostatistics literature. It will be a helpful reference not only for those in medicine but for researchers in all
sectors, including government, industry, and academia. It provides a very broad review of ROC curve analysis comprising recent developments and includes a very extensive reference list.
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Journal of the American Statistical Association, Vol. 105, No. 492, December 2010
Wojtek Krzanowski and David Hand succeeded in writing the first comprehensive monograph on ROC curves for continuous data. Each chapter closes with references for further reading which keeps the book the size of a handy handbook containing an overview of the most important information on the topic while offering further references [for] the interested reader. The book is well structured and easy to read. ... highly recommended as [a] comprehensive handbook to researchers ...
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ISCB News, No. 50, December 2010
The book is well written for any researcher with any background. It is an excellent up-to-date reference book for beginning researchers and practitioners interested in using ROC curve. ... It is strongly recommended to have this book handy for anyone interested in ROC curve.
-Lianfen Qian,
Technometrics, November 2010
... there was a need in the literature for a book devoted solely to ROC curves ... This book aims to answer this need; it succeeds, by offering the reader a concise and informative treatment of ROC curves. Krzanowski and Hand's long research experience in multivariate analysis and classification is reflected in the book. They explain various aspects of ROC analysis very simply, using only the necessary mathematics. ... the authors expand the theory to more advanced concepts of statistical inference, using informal language accompanied by a large number of examples from various scientific areas. Hence, the reading is easy, interesting, and bound to stimulate curiosity for further exploration of the literature. ... very useful, highly readable, and can serve as a guide to ROC curves for any scientist who has the basic statistics background. I therefore recommend it to all researchers and practitioners who work with multivariate data, especially those who are concerned with classification problems.
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Computing Reviews, November 2009
