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Book The Statistical Evaluation of Medical Tests for Classification and Prediction (Oxford Statistical Science Series) 1st Edition by Pepe, Margaret Sullivan (2004)

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The Statistical Evaluation of Medical Tests for Classification and Prediction (Oxford Statistical Science Series) 1st Edition by Pepe, Margaret Sullivan (2004)

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  • Oxford University Press; 1 edition (1707)
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  • Science & Math

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Review Text

  • By jorge on June 24, 2017

    Excelente book for Statisticians and medical doctors

  • By M. Inguanez on August 27, 2007

    An excellent book on the evaluation of medical tests. Includes a lot of information on techniques used for evaluating diagnostic tests. Easily read even by persons with no medical background.

  • By MargaretNC on January 1, 2016

    I ordered this book in 2006, shortly after completing a clinical research fellowship in epidemiology. There was no sense in reviewing it back then, but 9 years later, I can describe the practical value and "final product" of studying this text early in your career.This is the best book in the field by the statistician who is best known for this topic. With the help of Pepe's book and Zhou's book and a professor who was an expert in clinical research methods, I planned, conducted and published two diagnostic accuracy analyses of risk assessment tools, one of which has since been cited by the US Preventive Services Task Force. Every clinical research fellow who will or might study screening needs to read this book and practice a diagnostic accuracy analysis during fellowship because it will teach you universal skills in evaluation and interpretation of studies of screening. The two papers I published were part of the pilot data for a K23 career development award, my first of 3 NIH grants, so the material you learn from this book will also inform grants.

  • By R. O. Doehring on March 3, 2012

    Pepe's text on the statistical evaluation of diagnostic tests is perhaps the most readable and approachable in the field. Being an avid user of my iPad with Kindle app, I bought the Kindle version of the book. I was extremely disappointed to find that not only did the Kindle rendition make the page numbering of the Contents and Index meaningless, but there is considerable coruption of mathematical notation, in particular sub- and superscripts.As a result of my frustration with using the Kindle version, I have bought the paperback - which is as excellent as I expected it to be.Until Amazon has improved the technology to the extent that a book such as this is faithfully rendered in Kindle, I think it is improper to offer the Kindle version for sale, and certainly when so high a price is asked!

  • By yet another reader on September 20, 2017

    Timeless book with clear explanations and practical, step by step instructions for how to analyze data. I found one chapter in particular, about study design and hypothesis testing for the development of a medical test, very useful. It covers pretty much all you need to know for the development of a medical test, from the big picture to how to perform the actual calculations. I found here some of the clearest explanations ever for why and how to estimate the necessary sample size and the power of the analysis during the various phases of developing a medical test.

  • By W. YIP on April 23, 2016

    Nice formal introduction to use ROC curve to evaluate medical tests diagnostics. It went through all the basic concepts such as sensitivity and specificity and the different measurements such as AUC and the binomal distribution to quantify the ROC curve. Unfortunatley, I was looking for one particular topic that the book did not cover - introduction of "reader" for the test diagnostics. It makes all the statistics very complicated as a result and an area which is not being covered well.

  • By Michael R. Chernick on June 8, 2008

    With the increase in cancer trials both in medical research and the pharmaceutical industry, medical diagnostic tests including medical imaging evaluations are being used more and more. There is a need for adjudication when radiologists disagree on a diagnosis and some standard statistical measures from other fields are finding new application.This book provides a thorough background on the subject, the methodology and the applications. It is very clearly written and not overly technical. The methodology is the classical frequentist approach to statistical inference. Recently, Lyle Broemeling has published a book on this topic that takes exclusively the Bayesian approach and explains the Bayesian approach for those who are not acquainted with it. When dealing with predictions based on evolving data the Bayesian approach might be more natural. This would be the case in a clinical trial where the data is reviewed sequentially.A particularly important part of diagnostic accuracy analysis is the area under the ROC curve. Pepe does an excellent job of covering that topic. This text is referenced often in Broemeling's book since it provides an excellent explanation of the same topics using the frequentist approach that he covers with the Bayesian approach.

  • By Lea on May 6, 2015

    Am glad I got this book. It's very helpful.


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