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Model-Based Designs for Identification of Optimal Biological Dose

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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.

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Correspondence to Haitao Pan .

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Pan, H., Yuan, Y. (2023). Model-Based Designs for Identification of Optimal Biological Dose. In: Bayesian Adaptive Design for Immunotherapy and Targeted Therapy. Springer, Singapore. https://doi.org/10.1007/978-981-19-8176-0_4

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