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Model-Based Designs for Identification of Optimal Biological Dose

In: Bayesian Adaptive Design for Immunotherapy and Targeted Therapy

Author

Listed:
  • Haitao Pan

    (St. Jude Children’s Research Hospital, Department of Biostatistics)

  • Ying Yuan

    (The University of Texas MD Anderson Cancer Center, Department of Biostatistics)

Abstract

This chapter presents several model-based phase I/II designs, including the EffTox design (Thall & Cook, 2004), the logistic model-based design (Zang et al., 2014), a Bayesian phase I/II design for immunotherapy (Liu et al., 2018), and an isotonic design (Zang et al., 2014). These designs assume a dose-toxicity and dose-efficacy model, and continuously update the estimate of the model in a way similar to the continual reassessment method (CRM). The model estimate is then used to guide dose escalation/de-escalation. Herein, the software of these designs is introduced.

Suggested Citation

  • Haitao Pan & Ying Yuan, 2023. "Model-Based Designs for Identification of Optimal Biological Dose," Springer Books, in: Bayesian Adaptive Design for Immunotherapy and Targeted Therapy, chapter 0, pages 53-70, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-8176-0_4
    DOI: 10.1007/978-981-19-8176-0_4
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