Model-Assisted Bayesian Designs for Dose Finding and Optimization by Ying Yuan

Model-Assisted Bayesian Designs for Dose Finding and Optimization by Ying Yuan

This book shows how model-assisted designs can greatly improve the efficiency and simplify the conduct of early-phase dose finding and optimization trials. It should therefore be a very useful practical reference for biostatisticians, clinicians working in clinical trials, and drug regulatory professionals, as well as grad students.

"This book is a must for someone that wants to work with the aforementioned models using SAS and wants a step-by-step guide on how and when to implement those modelsEach chapter is organized in a very similar manner... It is one of the best books on applied statistics I have read up to this point. I am sure you will find it great as well if you are part of the intended target audience, as I have described above. Particularly for non-statisticians that have an upcoming analysis where linear regression or ANOVA models are planned, the book is a must in order to make sure the proper method is used, what to check, what alternatives there are and how to properly read and interpret the results when using SAS."

David Manteigas, Portugal, ISCB News, May 2024.

Ying Yuan, Ph.D., is Bettyann Asche Murray Distinguished Professor in Biostatistics and Deputy Chair at the Department of Biostatistics at the University of Texas MD Anderson Cancer Center. He has published over 100 statistical methodology papers on innovative Bayesian adaptive designs, including early phase trials, seamless trials, biomarker-guided trials, and basket and platform trials. The designs and software developed by Dr. Yuan’s and Dr. J. Jack Lee’s team (www.trialdesign.org) have been widely used in medical research institutes and pharmaceutical companies. The BOIN design developed by Dr. Yuan’s team is the first oncology dose-finding design designated as a fit-for-purpose drug development tool by FDA. Dr. Yuan is an elected Fellow of the American Statistical Association, and is a co-author of the book Bayesian Designs for Phase I-II Clinical Trials published by Chapman & Hall/CRC Press.

Ruitao Lin, Ph.D., is an Assistant Professor in the Department of Biostatistics at the University of Texas MD Anderson Cancer Center. Motivated by the unmet need for the development of precision medicine, Dr. Lin has developed many innovative statistical designs to increase trial efficiency, optimize healthcare decisions, and expedite drug development. He made substantial contributions to generalize model-assisted designs, including BOIN, to handle combination trials, late-onset toxicity, and dose optimization. Dr. Lin has published over 40 papers in top statistical and medical journals. He currently is an Associate Editor of Biometrial Journal, Pharmaceutical Statistics, and Contemporary Clinical Trials.

J. Jack Lee, Ph.D., is a Professor of Biostatistics, Kenedy Foundation Chair in Cancer Research, and Associate Vice President in Quantitative Sciences at the University of Texas MD Anderson Cancer Center. He is an expert on the design and analysis of Bayesian adaptive designs, platform trials, basket trials, umbrella trials, master protocols, statistical computation/graphics, drug combination studies, and biomarkers identification and validation. Dr. Lee has also been actively participating in basic, translational, and clinical cancer research in chemoprevention, immuno-oncology, and precision oncology. He is an elected Fellow of the American Statistical Association, the Society for Clinical Trials, and the American Association for the Advancement of Science. He is Statistical Editor of Cancer Prevention Research and serves on the Statistical Editorial Board of Journal of the National Cancer Institute. He has over 500 publications and is a co-author of the book Bayesian Adaptive Methods for Clinical Trials published by Chapman & Hall/CRC Press.

SKU	Unavailable
ISBN 13	9780367146245
ISBN 10	036714624X
Title	Model-Assisted Bayesian Designs for Dose Finding and Optimization
Author	Ying Yuan
Series	Chapman And Hall Crc Biostatistics Series
Condition	Unavailable
Binding Type	Hardback
Publisher	Taylor & Francis Ltd
Year published	2022-11-11
Number of pages	220
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.