This book provides a comprehensive account of statistical methods for the 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, the authors stress common measures of diagnostic accuracy and designs for diagnostic accuracy studies, methods of estimation and hypothesis testing of the accuracy of diagnostic tests, and advanced analytic techniques such as methods for comparing correlated ROC curves in multi-reader studies, correcting verification bias, and correcting imperfect gold standards. The book has rapidly become a valuable addition to the literature of the field, serving as a much-needed guide for both clinicians and advanced students. Xiao-Hua Zhou, Donna K. McClish, Nancy A. Obuchowski
