Statistical Methods in Diagnostic Medicine (eBook)

Xiao-Hua Zhou, PhD, is Professor of Biostatistics at the University of Washington and Director and Research Career Scientist at the Biostatistics Unit of the Veterans Affairs Puget Sound Healthcare System. He is a Fellow of the American Statistical Association and the author of more than 100 published articles on statistical methods in diagnostic medicine and causal inferences. Nancy A. Obuchowski, PhD, is Vice Chairperson of the Department of Quantitative Health Sciences at the Cleveland Clinic Foundation. A Fellow of the American Statistical Association, she has written more than 100 journal articles on the design and analysis of studies of screening and diagnostic tests. Donna K. McClish, PhD, is Associate Professor and Graduate Program Director in Biostatistics at Virginia Commonwealth University. She has written more than 100 journal articles on statistical methods in epidemiology, diagnostic medicine, and health services research.

List of Figures xix

List of Tables xxiii

0.1 Preface xxix

0.2 Acknowledgements xxxi

Part I. Basic Concepts and Methods

1. Introduction 3

2. Measures of Diagnostic Accuracy 13

3. Design of Diagnostic Accuracy Studies 57

4. Estimation and Hypothesis Testing in a Single Sample 103

5. Comparing the Accuracy of Two Diagnostic Tests 165

6. Sample Size Calculations 193

7. Introduction to Meta-analysis for Diagnostic Accuracy Studies 231

Part II. Advanced Methods

8. Regression Analysis for Independent ROC Data 263

9. Analysis of Multiple Reader and/or Multiple Test Studies 297

10. Methods for Correcting Verification Bias 329

11. Methods for Correcting Imperfect Gold Standard Bias 389

12. Statistical Analysis for Meta-analysis 435

Appendix A. Case Studies and Chapter 8 Data 449

Appendix B. Jackknife and Bootstrap Methods of Estimating Variances and Confidence Intervals 477

"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)