Thomas Debray (22 results)

Softcover. Condition: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2009. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2009. Ammareal gives back up to 15% of this item's net price to charity organizations.

Broschiert. Condition: Gut. 5. Aufl. 112 S. : Ill. ; + Lösungsh. (23 S.) Das Buch ist in einem neuwertigen Zustand. Sprache: Deutsch Gewicht in Gramm: 340.

Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condition: Neuf.

Broché. Condition: Bon état. in-8 Description :191 pp. Couverture défraîchie. Langue : français Nb de volumes : 1.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New. Thomas Debray, PhD, is a distinguished statistician and academic who transitioned from academia into specialized consulting for the pharmaceutical industry, leveraging his expertise in real-world evidence, precision medicine, and evidence synthesi.

Hardcover. Condition: Brand New. 665 pages. 10.00x7.00x10.00 inches. In Stock.

Buch. Condition: Neu. Neuware - Comparative effectiveness research has become essential for shaping regulatory policy, informing economic evaluations, and guiding treatment standardization across healthcare systems worldwide. While traditional randomized controlled trials remain the cornerstone of evidence generation, they have important limitations when treatment effects are heterogeneous. In practice, patients often respond differently to the same intervention due to differences in demographics, genetics, comorbidities, and other contextual factors. This variability creates challenges for personalized medicine and limits the generalizability of trial results to diverse real-world patient populations.

paperback. Condition: Sehr gut. 112 Seiten; Artikel stammt aus Nichtraucherhaushalt! GC6967 Sprache: Deutsch Gewicht in Gramm: 500.

Hardcover. Condition: new. Hardcover. Comparative effectiveness research has become essential for shaping regulatory policy, informing economic evaluations, and guiding treatment standardization across healthcare systems worldwide. While traditional randomized controlled trials remain the cornerstone of evidence generation, they have important limitations when treatment effects are heterogeneous. In practice, patients often respond differently to the same intervention due to differences in demographics, genetics, comorbidities, and other contextual factors. This variability creates challenges for personalized medicine and limits the generalizability of trial results to diverse real-world patient populations.This comprehensive guide addresses these critical gaps by exploring how real-world data from electronic health records, patient registries, and observational studies can transform comparative effectiveness research and enable truly personalized treatment decisions. Comparative Effectiveness and Personalized Medicine Research Using Real-World Data provides detailed methodological frameworks for moving beyond traditional subgroup analyses to sophisticated approaches that harness the full potential of real-world evidence for individualized patient care.FeaturesComprehensive coverage of statistical techniques for analyzing heterogeneity of treatment effects and estimating individualized treatment effectsInnovative approaches for combining diverse data sources to generate robust comparative effectiveness evidenceCutting-edge algorithms and computational methods for personalized medicine applicationsReal-world examples, case studies, and vignettes demonstrating successful applications in clinical practiceAccess to dedicated online training materials, example code, and supplementary content through companion websitesCurrent guidance from FDA, EMA, and other regulatory bodies on real-world evidence in decision-makingThis text serves as an essential resource for healthcare researchers, biostatisticians, epidemiologists, health economists, regulatory professionals, and clinicians seeking to understand and implement advanced methodologies in comparative effectiveness research. Written through collaboration between leading experts in healthcare research, biostatistics, epidemiology, and health policy, it provides both theoretical foundations and practical tools for leveraging real-world data in evidence generation. The book is particularly valuable for professionals involved in regulatory submissions, health technology assessments, treatment guideline development, and personalized medicine initiatives, offering the methodological rigor needed to enhance the credibility and reliability of real-world evidence in healthcare decision-making. Pivotal to influencing regulatory policies (e.g.,authorization of new drugs), economic evaluations (e.g., reimbursement decisions), and the standardization of care across diverse settings (e.g., through the development of treatment guidelines) for well-functioning healthcare systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. Comparative effectiveness research has become essential for shaping regulatory policy, informing economic evaluations, and guiding treatment standardization across healthcare systems worldwide. While traditional randomized controlled trials remain the cornerstone of evidence generation, they have important limitations when treatment effects are heterogeneous. In practice, patients often respond differently to the same intervention due to differences in demographics, genetics, comorbidities, and other contextual factors. This variability creates challenges for personalized medicine and limits the generalizability of trial results to diverse real-world patient populations.This comprehensive guide addresses these critical gaps by exploring how real-world data from electronic health records, patient registries, and observational studies can transform comparative effectiveness research and enable truly personalized treatment decisions. Comparative Effectiveness and Personalized Medicine Research Using Real-World Data provides detailed methodological frameworks for moving beyond traditional subgroup analyses to sophisticated approaches that harness the full potential of real-world evidence for individualized patient care.FeaturesComprehensive coverage of statistical techniques for analyzing heterogeneity of treatment effects and estimating individualized treatment effectsInnovative approaches for combining diverse data sources to generate robust comparative effectiveness evidenceCutting-edge algorithms and computational methods for personalized medicine applicationsReal-world examples, case studies, and vignettes demonstrating successful applications in clinical practiceAccess to dedicated online training materials, example code, and supplementary content through companion websitesCurrent guidance from FDA, EMA, and other regulatory bodies on real-world evidence in decision-makingThis text serves as an essential resource for healthcare researchers, biostatisticians, epidemiologists, health economists, regulatory professionals, and clinicians seeking to understand and implement advanced methodologies in comparative effectiveness research. Written through collaboration between leading experts in healthcare research, biostatistics, epidemiology, and health policy, it provides both theoretical foundations and practical tools for leveraging real-world data in evidence generation. The book is particularly valuable for professionals involved in regulatory submissions, health technology assessments, treatment guideline development, and personalized medicine initiatives, offering the methodological rigor needed to enhance the credibility and reliability of real-world evidence in healthcare decision-making. Pivotal to influencing regulatory policies (e.g.,authorization of new drugs), economic evaluations (e.g., reimbursement decisions), and the standardization of care across diverse settings (e.g., through the development of treatment guidelines) for well-functioning healthcare systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condition: new. Hardcover. Comparative effectiveness research has become essential for shaping regulatory policy, informing economic evaluations, and guiding treatment standardization across healthcare systems worldwide. While traditional randomized controlled trials remain the cornerstone of evidence generation, they have important limitations when treatment effects are heterogeneous. In practice, patients often respond differently to the same intervention due to differences in demographics, genetics, comorbidities, and other contextual factors. This variability creates challenges for personalized medicine and limits the generalizability of trial results to diverse real-world patient populations.This comprehensive guide addresses these critical gaps by exploring how real-world data from electronic health records, patient registries, and observational studies can transform comparative effectiveness research and enable truly personalized treatment decisions. Comparative Effectiveness and Personalized Medicine Research Using Real-World Data provides detailed methodological frameworks for moving beyond traditional subgroup analyses to sophisticated approaches that harness the full potential of real-world evidence for individualized patient care.FeaturesComprehensive coverage of statistical techniques for analyzing heterogeneity of treatment effects and estimating individualized treatment effectsInnovative approaches for combining diverse data sources to generate robust comparative effectiveness evidenceCutting-edge algorithms and computational methods for personalized medicine applicationsReal-world examples, case studies, and vignettes demonstrating successful applications in clinical practiceAccess to dedicated online training materials, example code, and supplementary content through companion websitesCurrent guidance from FDA, EMA, and other regulatory bodies on real-world evidence in decision-makingThis text serves as an essential resource for healthcare researchers, biostatisticians, epidemiologists, health economists, regulatory professionals, and clinicians seeking to understand and implement advanced methodologies in comparative effectiveness research. Written through collaboration between leading experts in healthcare research, biostatistics, epidemiology, and health policy, it provides both theoretical foundations and practical tools for leveraging real-world data in evidence generation. The book is particularly valuable for professionals involved in regulatory submissions, health technology assessments, treatment guideline development, and personalized medicine initiatives, offering the methodological rigor needed to enhance the credibility and reliability of real-world evidence in healthcare decision-making. Pivotal to influencing regulatory policies (e.g.,authorization of new drugs), economic evaluations (e.g., reimbursement decisions), and the standardization of care across diverse settings (e.g., through the development of treatment guidelines) for well-functioning healthcare systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.