Wednesday, June 1, 2011

Statistical Methods in Diagnostic Medicine

Statistical Methods in Diagnostic Medicine



Author: Xiao-Hua Zhou
Edition: 2
Publisher: Wiley
Binding: Hardcover
ISBN: 0470183144



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


Praise for the First Edition

" . Medical books Statistical Methods in Diagnostic Medicine . . . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."—Zentralblatt MATH

A new edition of the cutting-edge guide to diagnostic tests in medical research

In recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies Medical books Statistical Methods In Diagnostic Medicine (Wiley Series In... Ebook. Buy Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics #569) by Xiao-Hua Zhou and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!

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Download link for Statistical Methods In Diagnostic Medicine, Second Edit

Buy Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics #569) by Xiao-Hua Zhou and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!

Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics), ISBN-13: 9780470183144, ISBN-10: 0470183144

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-analysi

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-analysi



Medical Book Statistical Methods in Diagnostic Medicine



. . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."—Zentralblatt MATH

A new edition of the cutting-edge guide to diagnostic tests in medical research

In recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies. Statistical Methods in Diagnostic Medicine, Second Edition continues to provide a comprehensive approach to the topic, guiding readers through the necessary practices for understanding these studies and generalizing the results to patient populations.

Following a basic introduction to measuring test accuracy and study design, the authors successfully define various measures of diagnostic accuracy, describe strategies for designing diagnostic accuracy studies, and present key statistical methods for estimating and comparing test accuracy. Topics new to the Second Edition include:

  • Methods for tests designed to detect and locate lesions

  • Recommendations for covariate-adjustment

  • Methods for estimating and comparing predictive values and sample size calculations

  • Correcting techniques for verification and imperfect standard biases

  • Sample size calculation for multiple reader studies when pilot data are available

  • Updated meta-analysis methods, now incorporating random effects

Three case studies thoroughly showcase some of the questions and statistical issues that arise in diagnostic medicine, with all associated data provided in detailed appendices. A related web site features Fortran, SAS®, and R software packages so that readers can conduct their own analyses.

Statistical Methods in Diagnostic Medicine, Second Edition is an excellent supplement for biostatistics courses at the graduate level. It also serves as a valuable reference for clinicians and researchers working in the fields of medicine, epidemiology, and biostatistics.



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