Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics) [Hardcover]

Xiao-Hua Zhou (Author), Donna K. McClish (Author), Nancy A. Obuchowski (Author)

Book Description

ISBN-10: 0471347728 | ISBN-13: 978-0471347729 | Publication Date: July 22, 2002 | Edition: 1

An important role of diagnostic medicine research is to estimate and compare the accuracies of diagnostic tests. This book provides a comprehensive account of statistical methods for design and analysis of diagnostic studies, including sample size calculations, estimation of the accuracy of a diagnostic test, comparison of accuracies of competing diagnostic tests, and regression analysis of diagnostic accuracy data. Discussing recently developed methods for correction of verification bias and imperfect reference bias, methods for analysis of clustered diagnostic accuracy data, and meta-analysis methods, Statistical Methods in Diagnostic Medicine explains:
* Common measures of diagnostic accuracy and designs for diagnostic accuracy studies
* Methods of estimation and hypothesis testing of the accuracy of diagnostic tests
* Meta-analysis
* Advanced analytic techniques-including methods for comparing correlated ROC curves in multi-reader studies, correcting verification bias, and correcting when an imperfect gold standard is used
Thoroughly detailed with numerous applications and end-of-chapter problems as well as a related FTP site providing FORTRAN program listings, data sets, and instructional hints, Statistical Methods in Diagnostic Medicine is a valuable addition to the literature of the field, serving as a much-needed guide for both clinicians and advanced students.

Editorial Reviews

Review

“...a comprehensive account of statistical methods for design and analysis of diagnostic studies...” (Quarterly of Applied Mathematics, Vol. LXI, No. 2, June 2003)

"The medical value of this...should be apparent to anyone...this material is not extensively covered in medical statistics textbooks." (Technometrics, Vol. 45, No. 1, February 2003)

"...the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students". (Zentralblat MATH, Vol.1007, No.7, 2003)

From the Back Cover

An important role of diagnostic medicine research is to estimate and compare the accuracies of diagnostic tests. This book provides a comprehensive account of statistical methods for design and analysis of diagnostic studies, including sample size calculations, estimation of the accuracy of a diagnostic test, comparison of accuracies of competing diagnostic tests, and regression analysis of diagnostic accuracy data. Discussing recently developed methods for correction of verification bias and imperfect reference bias, methods for analysis of clustered diagnostic accuracy data, and meta-analysis methods, Statistical Methods in Diagnostic Medicine explains:

• Common measures of diagnostic accuracy and designs for diagnostic accuracy studies
• Methods of estimation and hypothesis testing of the accuracy of diagnostic tests
• Meta-analysis
• Advanced analytic techniques—including methods for comparing correlated ROC curves in multi-reader studies, correcting verification bias, and correcting when an imperfect gold standard is used

Thoroughly detailed with numerous applications and end-of-chapter problems as well as a related FTP site providing FORTRAN program listings, data sets, and instructional hints, Statistical Methods in Diagnostic Medicine is a valuable addition to the literature of the field, serving as a much-needed guide for both clinicians and advanced students.

See all Editorial Reviews

Product Details

• Hardcover: 464 pages
• Publisher: Wiley-Interscience; 1 edition (July 22, 2002)
• Language: English
• ISBN-10: 0471347728
• ISBN-13: 978-0471347729
• Product Dimensions: 9.4 x 6.3 x 1 inches
• Shipping Weight: 1.7 pounds
• Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #1,551,020 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

18 of 19 people found the following review helpful:

4.0 out of 5 stars And the winner is..., November 4, 2004

By 

StatAge (Europe, EU) - See all my reviews

This review is from: Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics) (Hardcover)

There are two modern books in the field. This one by Profs Zhou, Obuchowski, McClish and the book by Prof. Pepe. All four are experts in this field. Both books present the same aspects of statistical diagnostic testing and both can be of invaluable help for researchers (both applied and more academic) and graduate students. However, Professor Pepe has done an excellent job (if I may) using a clear, concise notation and language throughout. On the other hand this book (ZOM) is not that well written, giving more weight in the presentation of the personal research of the authors. As a result there is some notation inconsistency (not too puzzling though) and the flow of the text is not that smooth. Both books have full reference lists, they present interesting applications and give a number of exercises at the end of each chapter.

1 of 2 people found the following review helpful:

5.0 out of 5 stars comprehensive and rigorous, August 18, 2009

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics) (Hardcover)

Another reviewer has compared this book with the one by Pepe but is not aware of the book by Broemeling. I reviewed Broemelings book and have this one so in addition to discussing the features of the Zhou-Obuchowski-McClish book I will make some comments comparing it to Lyle Broemeling's book.

Although this book was published in 2002 it is still very contemporary and useful. Both the classical and Bayesian approaches are covered but the details of Bayesian approaches using MCMC methods is not here so if you are interested in that it is well-covered in Broemeling's book. This book is comprehensive and rigorous and show all the modern techniques including the bootstrap. A published article on a bootstrap approach to a diagnostic testing problem involving a mixed linear model is covered in detail and critiqued for depending on an independence assumption.

What I like most about the are the last two chapters 11 and 12. This is material I have not seen before with chapter 11 showing the types of bias that can occur when the gold standard is imperfect (a very common problem given very thorough answers here). Chapter 12 provides statistical methods for habdling multiple studies for evaluating 1) sensitivity and specificity for a diagnostic test and 2) ROC area estimates ofor a diagnostic test using fixed and random effects models.

Also chapter 6 provides methods for estimating sample size when determining area under ROC curves and sensitivity and specificity for single tests, comparisons of two tests, determining equivalence of two tests and more. Methods are illustrated using real examples.

At a time when biomarkers are starting to be used as diagnostics this methodology becomes extremely important.

0 of 1 people found the following review helpful:

4.0 out of 5 stars Industry Statistician, April 2, 2010

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W. Schoellkopf - See all my reviews
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This review is from: Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics) (Hardcover)

I think this is a very good text, and when used in combination with Pepe's text, you get all the statistical background you would need to design well thought out studies, and account for bias.