" . . . 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.
Content:Chapter 1 Introduction (pages 1–11):
Chapter 2 Measures of Diagnostic Accuracy (pages 13–55):
Chapter 3 Design of Diagnostic Accuracy Studies (pages 57–101):
Chapter 4 Estimation and Hypothesis Testing in a Single Sample (pages 103–164):
Chapter 5 Comparing the Accuracy of Two Diagnostic Tests (pages 165–192):
Chapter 6 Sample Size Calculations (pages 193–229):
Chapter 7 Introduction to Meta?analysis for Diagnostic Accuracy Studies (pages 231–260):
Chapter 8 Regression Analysis for Independent ROC Data (pages 261–296):
Chapter 9 Analysis of Multiple Reader and/or Multiple Test Studies (pages 297–328):
Chapter 10 Methods for Correcting Verification Bias (pages 329–387):
Chapter 11 Methods for Correcting Imperfect Gold Standard Bias (pages 389–433):
Chapter 12 Statistical Analysis for Meta?analysis (pages 435–448):