" . . . 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.

Autorentext
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.

Klappentext
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.

Zusammenfassung
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.

Inhalt

List of Figures xix

List of Tables xxiii

0.1 Preface xxix

0.2 Acknowledgements xxxi

Part I. Basic Concepts and Methods