Handbook of Generalized Pairwise Comparisons

Methods for Patient-Centric Analysis
1. Auflage 2025
ISBN: 978-1-032-48803-5
Verlag: CRC Press

Buch, Englisch, 582 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1220 g

Reihe: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

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.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Buyse, Marc

Verbeeck, Johan

Saad, Everardo D.

Backer, Mickaël de

Deltuvaite-Thomas, Vaiva

Molenberghs, Geert

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

Abbreviations   Foreword   Preface   Editors   Contributors   Part I. Introduction   1. Generalized Pairwise Comparisons for patient-centric treatment decisions   Part II. Statistical Theory   2. Measures of Treatment Effect   3. Inference   4. Right-censored Data   5. Restricted GPC Statistics   6. Missing Data   7. Challenges and Limitations of NTB   Part III. Advanced Topics   8. GPC and Rank Procedures   9. Stratification and non-parametric adjustment   10. Covariate adjustment for GPC   11. Cure Rate Models   12. Group Sequential Designs   13. The Desirability Of Outcome Ranking (DOOR)   14. Theoretical Properties of GPC Statistics   Part IV. Software and Datasets   15. Illustrating GPC through a graphical user interface   16. GPC through a command line interface   Part V. Applications   17. Cardiovascular Disease   18. Oncology   19. Rare Diseases   20. Regulatory considerations for GPC analyses   21. Quantitative benefit-risk assessment   Part VI. Patient-centricity   22. GPC for N - of - 1 Trials   23. Elicitation of Patient Preferences for GPC   24. Shared Decision-Making   25. Patient centricity and participation   26. Open Science and Patient-level Data Sharing   Postface   Bibliography   Index

Über Autor(innen)

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).