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Statistical methods in diagnostic medicine / Xiao-Hua Zhou, Nancy A. Obuchowski, Donna K. McClish.

By: Contributor(s): Material type: TextTextSeries: Wiley series in probability and statisticsPublisher: New York : Wiley-Interscience, [2002]Copyright date: ©2002Description: xv, 437 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0471347728
  • 9780471347729
Subject(s): DDC classification:
  • 610.727 21
LOC classification:
  • R853.S7 S767 2002
Online resources:
Contents:
Preface -- Acknowledgments -- 1. Introduction -- I. Basic Concepts and Methods -- 2. Measures of Diagnostic Accuracy -- 3. The Design of Diagnostic Accuracy Studies -- 4. Estimation and Hypothesis Testing in a Single Sample -- 5. Comparing the Accuracy of Two Diagnostic Tests -- 6. Sample Size Calculation -- 7. Issues in Meta-Analysis for Diagnostic Tests -- II. Advanced Methods -- 8. Regression Analysis for Independent ROC Data -- 9. Analysis of Correlated ROC Data -- 10. Methods for Correcting Verification Bias -- 11. Methods for Correcting Imperfect Standard Bias -- 12. Statistical Methods for Meta-Analysis -- Index.
Summary: "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."--Publisher description.
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Includes bibliographical references and index.

Preface -- Acknowledgments -- 1. Introduction -- I. Basic Concepts and Methods -- 2. Measures of Diagnostic Accuracy -- 3. The Design of Diagnostic Accuracy Studies -- 4. Estimation and Hypothesis Testing in a Single Sample -- 5. Comparing the Accuracy of Two Diagnostic Tests -- 6. Sample Size Calculation -- 7. Issues in Meta-Analysis for Diagnostic Tests -- II. Advanced Methods -- 8. Regression Analysis for Independent ROC Data -- 9. Analysis of Correlated ROC Data -- 10. Methods for Correcting Verification Bias -- 11. Methods for Correcting Imperfect Standard Bias -- 12. Statistical Methods for Meta-Analysis -- Index.

"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."--Publisher description.

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