Statistical Methods in Diagnostic Medicine

The definitive resource for ensuring diagnostic tests meet the highest standards of statistical rigor and clinical effectivenessStatistical Methods in Diagnostic Medicine , 3rd Edition by Xiao-Hua Zhou, Jiarui Sun, Gene A. Pennello, Nancy A. Obuchowski and Donna K. McClish delivers the most comprehensive treatment of statistical methodologies for diagnostic test evaluation available today. The authors of the ; Edition Peking University PKU Distinguished Chair Professor Zhou, Cleveland Clinic Professor Obuchowski, and Virginia Commonwealth University Professor Donna McClish team with U.S. Food and Drug Administration senior mathematical statistician Pennello and doctoral researcher Sun to address a critical challenge facing medical professionals: ensuring that diagnostic tests used in clinical practice are accurate, methodologically sound, free from bias, and effective. This edition provides practitioners and researchers with the statistical foundation necessary to design, analyze, and validate diagnostic

correcting verification bias Comprehensive treatment of regression analysis applications in diagnostic accuracy research with updated methodological guidance Integrated case studies that demonstrate real-world application of statistical methods across different diagnostic scenarios and study designs Perfect for biostatisticians, applied statisticians, clinical researchers, and regulatory professionals working in diagnostic medicine, Statistical Methods in Diagnostic Medicine will also benefit graduate students and researchers interested in gaining the statistical expertise needed to design robust diagnostic studies. [Publisher's Text]

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