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
Biography
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.
“With this latest book, Dr. Thall adds to his reputation as one of the most innovative thinkers in the field of adaptive clinical trial design. This book offers a wide variety of cutting-edge methods in Bayesian precision medicine, all explicated in the context of utility-driven designs that can simultaneously evaluate and trade off treatment safety and efficacy. The book’s unification of standard tools for causal inference with Bayesian methods is very welcome, as is its generous collection of case studies, most drawn from the author’s own extensive statistical consulting portfolio. It is a must-read for students and practitioners in biopharmaceutical statistics who want to see the current frontier of individualized complex innovative trial design.”
~ Bradley P. Carlin, Cencora-PharmaLex, USA“…a comprehensive and deeply informed treatment of Bayesian statistical methods for the design and analysis of clinical trials in this setting. Drawing on decades of collaborative research at the M.D. Anderson Cancer Center, the author weaves together foundational concepts in Bayesian inference, causal reasoning, adaptive trial design, and nonparametric modeling into a unified and practical framework for personalizing treatment. The book is aimed primarily at biostatisticians and clinical researchers who wish to apply modern Bayesian methods to real-world trials and data analyses. It could also serve as the basis for a special topics course on Bayesian precision medicine for advanced graduate students. The writing is distinctive in its clarity, its willingness to confront common methodological errors in clinical practice head-on, and its consistent grounding in actual clinical applications. This is a book of principled statistical thinking applied to problems of genuine medical consequence…It synthesizes a vast body of methodological work into a coherent narrative that is both rigorous and practical. The book’s consistent emphasis on utility-driven decision making, its honest confrontation of the limitations of standard clinical trial practice, and its rich collection of real-world applications make it an invaluable resource for anyone working at the intersection of Bayesian statistics and precision medicine.”
~Yang Ni (13 May 2026): Bayesian Precision Medicine., Journal of the American Statistical Association
