Jiarui sun (15 risultati)
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Da: INDOO, Avenel, NJ, U.S.A.INDOO
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EUR 114,00
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 111,64
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Condizione: New.
Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics)
Zhou, Xiao-Hua; Sun, Jiarui; Pennello, Gene A.; Obuchowski, Nancy A.; McClish, Donna K.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 123,90
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Condizione: New. 3rd edition NO-PA16APR2015-KAP.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 129,64
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Condizione: As New. Unread book in perfect condition.
Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics)
Zhou, Xiao-Hua; Sun, Jiarui; Pennello, Gene A.; Obuchowski, Nancy A.; McClish, Donna K.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 125,55
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Condizione: New.
Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics)
Zhou, Xiao-Hua; Sun, Jiarui; Pennello, Gene A.; Obuchowski, Nancy A.; McClish, Donna K.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 125,28
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Condizione: New.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 132,72
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Condizione: New.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 134,78
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Condizione: As New. Unread book in perfect condition.
Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics)
Zhou, Xiao-Hua; Sun, Jiarui; Pennello, Gene A.; Obuchowski, Nancy A.; McClish, Donna K.
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Da: Ubiquity Trade, Miami, FL, U.S.A.Ubiquity Trade
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EUR 165,58
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Condizione: New. Brand new! Please provide a physical shipping address.
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Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
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EUR 152,50
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Neuware -The definitive resource for ensuring diagnostic tests meet the highest standards of statistical rigor and clinical effectiveness Statistical 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 compre…hensive treatment of statistical methodologies for diagnostic test evaluation available today. The authors of the 2nd 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 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. Readers will also find: - Three entirely new chapters covering statistical methods for risk prediction, quantitative imaging biomarkers, and efficacy and effectiveness of biomarkers and other tests.- Enhanced coverage of sample size calculations, accuracy estimation methods, and comparative analysis techniques for competing diagnostic tests- Advanced analytical approaches including methods for comparing correlated ROC curves in multi-reader studies and techniques for 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. 576 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 152,50
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Neuware -The definitive resource for ensuring diagnostic tests meet the highest standards of statistical rigor and clinical effectiveness Statistical 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 compre…hensive treatment of statistical methodologies for diagnostic test evaluation available today. The authors of the 2nd 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 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. Readers will also find: - Three entirely new chapters covering statistical methods for risk prediction, quantitative imaging biomarkers, and efficacy and effectiveness of biomarkers and other tests.- Enhanced coverage of sample size calculations, accuracy estimation methods, and comparative analysis techniques for competing diagnostic tests- Advanced analytical approaches including methods for comparing correlated ROC curves in multi-reader studies and techniques for 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. 576 pp. Englisch.
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Da: Wegmann1855, Zwiesel, GermaniaWegmann1855
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 152,50
EUR 25,95 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Neuware -The definitive resource for ensuring diagnostic tests meet the highest standards of statistical rigor and clinical effectiveness Statistical 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 compre…hensive treatment of statistical methodologies for diagnostic test evaluation available today. The authors of the 2nd 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 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. Readers will also find: - Three entirely new chapters covering statistical methods for risk prediction, quantitative imaging biomarkers, and efficacy and effectiveness of biomarkers and other tests.- Enhanced coverage of sample size calculations, accuracy estimation methods, and comparative analysis techniques for competing diagnostic tests- Advanced analytical approaches including methods for comparing correlated ROC curves in multi-reader studies and techniques for 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.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 152,50
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Neuware -The definitive resource for ensuring diagnostic tests meet the highest standards of statistical rigor and clinical effectiveness Statistical 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 compre…hensive treatment of statistical methodologies for diagnostic test evaluation available today. The authors of the 2nd 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 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. Readers will also find: - Three entirely new chapters covering statistical methods for risk prediction, quantitative imaging biomarkers, and efficacy and effectiveness of biomarkers and other tests.- Enhanced coverage of sample size calculations, accuracy estimation methods, and comparative analysis techniques for competing diagnostic tests- Advanced analytical approaches including methods for comparing correlated ROC curves in multi-reader studies and techniques for 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.Wiley-VCH GmbH, Boschstraße 12, 69469 Weinheim 576 pp. Englisch.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 206,31
EUR 17,60 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: Brand New. 3rd edition. 592 pages. 7.30x1.40x10.20 inches. In Stock.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 152,50
EUR 66,05 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Neuware - The definitive resource for ensuring diagnostic tests meet the highest standards of statistical rigor and clinical effectiveness Statistical 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 compr…ehensive treatment of statistical methodologies for diagnostic test evaluation available today. The authors of the 2nd 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 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. Readers will also find: - Three entirely new chapters covering statistical methods for risk prediction, quantitative imaging biomarkers, and efficacy and effectiveness of biomarkers and other tests.- Enhanced coverage of sample size calculations, accuracy estimation methods, and comparative analysis techniques for competing diagnostic tests- Advanced analytical approaches including methods for comparing correlated ROC curves in multi-reader studies and techniques for 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.
