{"product_id":"9781394220212","title":"Statistical Methods in Diagnostic Medicine","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eStatistical Methods in Diagnostic Medicine\u003c\/h1\u003e\u003ch3\u003eXiao-Hua Zhou | Jiarui Sun | Gene A. Pennello | Nancy A. Obuchowski | Donna K. McClish\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMedical \/ Diagnosis\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eThe definitive resource for ensuring diagnostic tests meet the highest standards of statistical rigor and clinical effectiveness\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eStatistical Methods in Diagnostic Medicine\u003c\/i\u003e, 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 2\u003csup\u003end\u003c\/sup\u003e 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. \u003c\/p\u003e\n\u003cp\u003eThis edition provides practitioners and researchers with the statistical foundation necessary to design, analyze, and validate diagnostic studies that can withstand regulatory scrutiny and clinical demands. The book has been thoroughly revised to incorporate the latest advances in diagnostic test methodology, featuring significant expansions in biomarker evaluation and benefit-risk assessment. The authors have restructured content to improve cohesion through integrated case studies that span multiple chapters, while updating each section with contemporary methods and streamlining discussions of older techniques to focus on the most relevant approaches for today’s diagnostic challenges. \u003c\/p\u003e\n\u003cp\u003eReaders will also find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThree entirely new chapters covering statistical methods for risk prediction, quantitative imaging biomarkers, and efficacy and effectiveness of biomarkers and other tests.\u003c\/li\u003e\n\u003cli\u003eEnhanced coverage of sample size calculations, accuracy estimation methods, and comparative analysis techniques for competing diagnostic tests\u003c\/li\u003e\n\u003cli\u003eAdvanced analytical approaches including methods for comparing correlated ROC curves in multi-reader studies and techniques for correcting verification bias\u003c\/li\u003e\n\u003cli\u003eComprehensive treatment of regression analysis applications in diagnostic accuracy research with updated methodological guidance\u003c\/li\u003e\n\u003cli\u003eIntegrated case studies that demonstrate real-world application of statistical methods across different diagnostic scenarios and study designs\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for biostatisticians, applied statisticians, clinical researchers, and regulatory professionals working in diagnostic medicine, \u003ci\u003eStatistical Methods in Diagnostic Medicine\u003c\/i\u003e will also benefit graduate students and researchers interested in gaining the statistical expertise needed to design robust diagnostic studies.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eXiao-Hua Zhou,\u003c\/b\u003e fellow of the American Association for the Advancement of Science, fellow of the American Statistical Association, fellow of Institute of Mathematical Statistics, is PKU Distinguished Chair Professor and Chair of the Department of Biostatistics at Peking University, Beijing, China. His research focuses on statistical methods for diagnostic medicine, causal inference, and clinical trials, with extensive experience in regulatory statistics and biomedical research methodology. He has published more than 290 referred papers in those areas. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eJiarui Sun\u003c\/b\u003e is Senior Biostatistician in Shanghai Shengdi Pharmaceutical Co., Ltd. and received his Ph.D from the School of Mathematical Science at Peking University, Beijing, China. His research interests include statistical methods for diagnostic accuracy studies, biomarker evaluation, and computational approaches to medical statistics and diagnostic test validation. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eGene A. Pennello,\u003c\/b\u003e fellow of the American Statistical Association, is a statistical reviewer and research Mathematical Statistician at the U.S. Food and Drug Administration (FDA) in Silver Spring, Maryland. He specializes in statistical methods for medical device evaluation, diagnostic test assessment, and regulatory review processes for medical technologies. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eNancy A. Obuchowski,\u003c\/b\u003e fellow of the American Statistical Association, Professor of Medicine at the Cleveland Clinic Lerner College of Medicine at Case Western Reserve University, has extensive experience in the design, analysis, and development of new statistical methodology for the evaluation of diagnostic and screening tests and quantitative imaging biomarkers. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDonna K. McClish, PhD,\u003c\/b\u003e 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. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e11 May 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394220212\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e576\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e34.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44421687541900,"sku":"9781394220212","price":135.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394220212.jpg?v=1780177056","url":"https:\/\/lateknightbooks.com\/products\/9781394220212","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}