Bayesian Precision Medicine

Presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using their prognostic variables and predictive biomarkers.

List of contents

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.

About the author

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.

Summary

Presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using their prognostic variables and predictive biomarkers.

Product details

• Authors: Peter F. Thall, Peter F. (M.d. Anderson Cancer Center Thall, Thall Peter F.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 07.05.2024
• EAN: 9781032754468
• ISBN: 978-1-0-3275446-8
• No. of pages: 318
• Series: Chapman & Hall/CRC Biostatistics Series
• Subjects: Natural sciences, medicine, IT, technology > Medicine > General; Epidemiology & medical statistics, SCIENCE / Life Sciences / Biology, MEDICAL / Biostatistics, MEDICAL / Research, MEDICAL / Epidemiology, MATHEMATICS / Probability & Statistics / Bayesian Analysis, Biology, life sciences, Pharmaceutical technology, Epidemiology and Medical statistics, Clinical Trials, Bayesian Inference, Pharmaceutical chemistry and technology, TECHNOLOGY & ENGINEERING / Pharmaceutical