Description
Praise for the First Edition
" . . . 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.
Table of Contents
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
