Handbook of Generalized Pairwise Comparisons (Hardcover)
Marc Buyse
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AbeBooks-Verkäufer seit 22. Juni 2007
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In den Warenkorb legenVerkauft von AussieBookSeller, Truganina, VIC, Australien
AbeBooks-Verkäufer seit 22. Juni 2007
Zustand: Neu
Anzahl: 1 verfügbar
In den Warenkorb legenHardcover. In today's healthcare landscape, there is a pressing need for quantitative methodologies that include the patients' perspective in any treatment decision.Handbook of Generalized Pairwise Comparisons: Methods for Patient-Centric Analysis provides a comprehensive overview of an innovative and powerful statistical methodology that generalizes the traditional Wilcoxon-Mann-Whitney test by extending it to any number of outcomes of any type and including thresholds of clinical relevance into a single, multidimensional evaluation.The book covers the statistical foundations of generalized pairwise comparisons (GPC), applications in various disease areas, implications for regulatory approvals and benefit-risk analyses, and considerations for patient-centricity in clinical research. With contributions from leading experts in the field, this book stands as an essential resource for a more holistic and patient-centric assessment of treatment effects. This book covers the statistical foundations of generalized pairwise comparisons (GPC), applications in various disease areas, and considerations for patient-centricity in clinical research. It stands as an essential resource for a more holistic and patient-centric assessment of treatment effects. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Bestandsnummer des Verkäufers 9781032488035
This book covers the statistical foundations of generalized pairwise comparisons (GPC), applications in various disease areas, and considerations for patient-centricity in clinical research. It stands as an essential resource for a more holistic and patient-centric assessment of treatment effects.
Marc Buyse holds a ScD in biostatistics from the Harvard School of Public Health, Boston, MA. He is Associate Professor of Biostatistics at U Hasselt, Belgium, and the founder of companies providing statistical services and software to the biopharmaceutical industry: International Drug Development Institute (IDDI), CluePoints and One2Treat.
Johan Verbeeck trained as a biotechnologist and biostatistician and transitioned from the pharmaceutical industry to academia. Currently, he serves as a post-doctoral biostatistical researcher at the Data Science Institute at U Hasselt, Belgium, specializing in statistical methods for analyzing multivariate outcomes, especially in small sample trials and cardiology.
Mickael De Backer received a PhD in biostatistics from UCLouvain, Belgium, in 2018, with a dissertation focused on quantile regressions in survival analysis. Since then, his work and research have centered on generalized pairwise comparisons in both academic and industry settings. He also serves as an invited lecturer in biostatistics at UCLouvain.
Vaiva Deltuvaite-Thomas obtained a PhD in biostatistics from U Hasselt, Belgium, after working as a community pharmacist in Lithuania, Belgium, Ireland, and France, which made her acutely aware of the need to understand and explain treatment-related information to patients. She is currently providing consultancy services as statistical scientist at International Drug Development Institute (IDDI).
Everardo D. Saad trained and practiced as a medical oncologist before shifting his career to clinical research and education. He serves as Medical Director at International Drug Development Institute (IDDI), Belgium, and is the founder of Dendrix, a medical education and research company in Sao Paulo, Brazil.
Geert Molenberghs received a PhD in biostatistics from U Antwerpen, Belgium. He was President of the International Biometric Society. He is Fellow of the American Statistical Association. He is Professor and founding director of the Center for Statistics at U Hasselt and of the Interuniversity Institute for Biostatistics and statistical Bioinformatics (U Hasselt and KU Leuven).
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