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![]( "Buchcover ISBN 9780470906507")
„The authors, overall, have done a good job of revising their first edition, addressing the critical reviews as well as expanding and updating their coverage . . . In summary, this is a good book, focusing on medical diagnosis as the name promises, presenting a wealth of methods in detail with good discussion.“ (Journal of Biopharmaceutical Statistics, 2011)
„Early chapters are accessible to readers with a basic knowledge of statistical and medical terminology, and the second section addresses data analysts with basic training in biostatistics. Later chapters assume deeper background in statistics, but the examples should be accessible to all. The 2002 edition has been updated throughout, and three new case studies have been added.“ (Booknews, 1 June 2011)
Statistical Methods in Diagnostic Medicine
von Xiao-Hua Zhou, Nancy A. Obuchowski und Donna K. McClishPraise for the First Edition
„ . . . the book is a valuable addition to the literature in thefield, serving as a much-needed guide for both clinicians andadvanced students.“--Zentralblatt MATH
A new edition of the cutting-edge guide to diagnostic tests inmedical research
In recent years, a considerable amount of research has focusedon evolving methods for designing and analyzing diagnostic accuracystudies. Statistical Methods in Diagnostic Medicine, Second Editioncontinues to provide a comprehensive approach to the topic, guidingreaders through the necessary practices for understanding thesestudies and generalizing the results to patient populations.
Following a basic introduction to measuring test accuracy andstudy design, the authors successfully define various measures ofdiagnostic accuracy, describe strategies for designing diagnosticaccuracy studies, and present key statistical methods forestimating and comparing test accuracy. Topics new to the SecondEdition include:
* Methods for tests designed to detect and locate lesions
* Recommendations for covariate-adjustment
* Methods for estimating and comparing predictive values andsample size calculations
* Correcting techniques for verification and imperfect standardbiases
* Sample size calculation for multiple reader studies when pilotdata are available
* Updated meta-analysis methods, now incorporating randomeffects
Three case studies thoroughly showcase some of the questions andstatistical issues that arise in diagnostic medicine, with allassociated data provided in detailed appendices. A related web sitefeatures Fortran, SAS®, and R software packages so thatreaders can conduct their own analyses.
Statistical Methods in Diagnostic Medicine, Second Edition is anexcellent supplement for biostatistics courses at the graduatelevel. It also serves as a valuable reference for clinicians andresearchers working in the fields of medicine, epidemiology, andbiostatistics.
„ . . . the book is a valuable addition to the literature in thefield, serving as a much-needed guide for both clinicians andadvanced students.“--Zentralblatt MATH
A new edition of the cutting-edge guide to diagnostic tests inmedical research
In recent years, a considerable amount of research has focusedon evolving methods for designing and analyzing diagnostic accuracystudies. Statistical Methods in Diagnostic Medicine, Second Editioncontinues to provide a comprehensive approach to the topic, guidingreaders through the necessary practices for understanding thesestudies and generalizing the results to patient populations.
Following a basic introduction to measuring test accuracy andstudy design, the authors successfully define various measures ofdiagnostic accuracy, describe strategies for designing diagnosticaccuracy studies, and present key statistical methods forestimating and comparing test accuracy. Topics new to the SecondEdition include:
* Methods for tests designed to detect and locate lesions
* Recommendations for covariate-adjustment
* Methods for estimating and comparing predictive values andsample size calculations
* Correcting techniques for verification and imperfect standardbiases
* Sample size calculation for multiple reader studies when pilotdata are available
* Updated meta-analysis methods, now incorporating randomeffects
Three case studies thoroughly showcase some of the questions andstatistical issues that arise in diagnostic medicine, with allassociated data provided in detailed appendices. A related web sitefeatures Fortran, SAS®, and R software packages so thatreaders can conduct their own analyses.
Statistical Methods in Diagnostic Medicine, Second Edition is anexcellent supplement for biostatistics courses at the graduatelevel. It also serves as a valuable reference for clinicians andresearchers working in the fields of medicine, epidemiology, andbiostatistics.
