9781032303628 - real-world evidence in a patient-centric digital era (29 risultati)
Real-world Evidence in a Patient-centric Digital Era
Zou, Kelly H. (EDT); Salem, Lobna A. (EDT); Ray, Amrit (EDT)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Real-world Evidence in a Patient-centric Digital Era
Zou, Kelly H. (EDT); Salem, Lobna A. (EDT); Ray, Amrit (EDT)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Editore: Taylor and Francis Ltd, GB, 2024
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Paperback. Condizione: New. Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a P…atient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.Features: Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industry Examines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirements Highlights emerging and current trends, and provides guidelines for best practices Illustrates methods through examples and use-case studies to demonstrate impact Provides guidance on software choices and digital applications for successful analyticsReal-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry.
Real-world Evidence in a Patient-centric Digital Era
Zou, Kelly H. (EDT); Salem, Lobna A. (EDT); Ray, Amrit (EDT)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Editore: Taylor & Francis Ltd, London, 2024
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Paperback. Condizione: new. Paperback. Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evid…ence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.Features: Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industry Examines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirements Highlights emerging and current trends, and provides guidelines for best practices Illustrates methods through examples and use-case studies to demonstrate impact Provides guidance on software choices and digital applications for successful analyticsReal-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry. This book will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, as well as policymakers and analysts in the healthcare industry. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Paperback. Condizione: New. Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a P…atient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.Features: Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industry Examines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirements Highlights emerging and current trends, and provides guidelines for best practices Illustrates methods through examples and use-case studies to demonstrate impact Provides guidance on software choices and digital applications for successful analyticsReal-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Real-world Evidence in a Patient-centric Digital Era
Zou, Kelly H. (EDT); Salem, Lobna A. (EDT); Ray, Amrit (EDT)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
- Brossura
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Lingua: Inglese
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Real-world Evidence in a Patient-centric Digital Era
Zou, Kelly H. (Editor)/ Salem, Lobna A. (Editor)/ Ray, Amrit (Editor)
Lingua: Inglese
Editore: Chapman & Hall, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Lingua: Inglese
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Paperback. Condizione: New. Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a P…atient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.Features: Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industry Examines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirements Highlights emerging and current trends, and provides guidelines for best practices Illustrates methods through examples and use-case studies to demonstrate impact Provides guidance on software choices and digital applications for successful analyticsReal-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry.
Altre immaginiLingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Real-World Evidence in a Patient-Centric Digital Era | Kelly H. Zou (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Chapman and Hall/CRC | EAN 9781032303628 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfra…ncis[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Paperback. Condizione: New. Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a P…atient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.Features: Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industry Examines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirements Highlights emerging and current trends, and provides guidelines for best practices Illustrates methods through examples and use-case studies to demonstrate impact Provides guidance on software choices and digital applications for successful analyticsReal-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Paperback. Condizione: new. Paperback. Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evid…ence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.Features: Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industry Examines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirements Highlights emerging and current trends, and provides guidelines for best practices Illustrates methods through examples and use-case studies to demonstrate impact Provides guidance on software choices and digital applications for successful analyticsReal-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry. This book will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, as well as policymakers and analysts in the healthcare industry. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Chapman And Hall/CRC Aug 2024, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer… powerful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.Features:Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industryExamines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirementsHighlights emerging and current trends, and provides guidelines for best practicesIllustrates methods through examples and use-case studies to demonstrate impactProvides guidance on software choices and digital applications for successful analyticsReal-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry. 210 pp. Englisch.
Real-world Evidence in a Patient-centric Digital Era
Zou, Kelly H. (Editor)/ Salem, Lobna A. (Editor)/ Ray, Amrit (Editor)
Lingua: Inglese
Editore: Chapman & Hall, 2024
Serie: Chapman & Hall/CRC Biostatistics, Libro 136 di 155. Libro 136 di 155 - Chapman & Hall/CRC Biostatistics
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powe…rful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry.This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation.Features:Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industryExamines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirementsHighlights emerging and current trends, and provides guidelines for best practicesIllustrates methods through examples and use-case studies to demonstrate impactProvides guidance on software choices and digital applications for successful analyticsReal-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry.
