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Bayesian Adaptive Design for Immunotherapy and Targeted Therapy

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  • © 2023

Overview

  • The first book focusing on novel adaptive designs for targeted and immunotherapies
  • Comprehensive coverage of state-of-the-art Bayesian adaptive designs, such as model-assisted designs
  • Including many real-world trial examples

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Table of contents (9 chapters)

  1. Phase I Trials

  2. Phase I/II Trials

  3. Phase II Trials

  4. Master-Protocol Trials

Keywords

About this book

This book provides a comprehensive review of novel adaptive trial designs for targeted therapies and immunotherapies. This book covers a wide range of novel statistical designs for various clinical settings, including early phase dose-escalation study, proof-of-concept trials, and confirmatory studies with registrational. The book includes real-life examples and software to facilitate practitioners to learn and use the designs in practice.

Authors and Affiliations

  • Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, USA

    Haitao Pan

  • Department of Biostatistics, MD Anderson Cancer Center, The University of Texas, Houston, USA

    Ying Yuan

Bibliographic Information

  • Book Title: Bayesian Adaptive Design for Immunotherapy and Targeted Therapy

  • Authors: Haitao Pan, Ying Yuan

  • DOI: https://doi.org/10.1007/978-981-19-8176-0

  • Publisher: Springer Singapore

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2023

  • Hardcover ISBN: 978-981-19-8174-6Published: 20 April 2023

  • Softcover ISBN: 978-981-19-8467-9Published: 21 April 2024

  • eBook ISBN: 978-981-19-8176-0Published: 19 April 2023

  • Edition Number: 1

  • Number of Pages: XI, 262

  • Number of Illustrations: 8 b/w illustrations, 50 illustrations in colour

  • Topics: Statistics for Life Sciences, Medicine, Health Sciences

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