Presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using their prognostic variables and predictive biomarkers.
Presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using their prognostic variables and predictive biomarkers.
Peter F. Thall is a global leader in the development and application of Bayesian methods in medical research, with over 300 publications in professional journals. His research interests include Bayesian statistics, clinical trial design, precision medicine, and dynamic treatment regimes.
Inhaltsangabe
1. Evaluating New Treatments. 2. Statistics and Causality. 3. Precision Dose Optimization. 4. Bayesian Basket Trials. 5. Precision Randomized Phase II Designs. 6. Precision Phase III Designs. 7. Enrichment Concepts and Methods. 8. Adaptive Enrichment Designs. 9. Bayesian Nonparametric Models. 10. Evaluating Multistage Treatment Regimes for Acute Leukemia. 11. Personalizing Preparative Regimen in Stem Cell Transplantation. 12. Utilities for Personalizing Advanced Breast Cancer Treatment.
