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Full Description
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.
Contents
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