Thomas P a Debray (17 results)

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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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.

Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

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.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.Features - Comprehensive coverage of statistical techniques for analyzing heterogeneity of treatment effects and estimating individualized treatment effects - Innovative approaches for combining diverse data sources to generate robust comparative effectiveness evidence - Cutting-edge algorithms and computational methods for personalized medicine applications - Real-world examples, case studies, and vignettes demonstrating successful applications in clinical practice - Access to dedicated online training materials, example code, and supplementary content through companion websites - Current guidance from FDA, EMA, and other regulatory bodies on real-world evidence in decision-making This 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.…

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.…

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.…