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Titlebook: Bayesian Adaptive Design for Immunotherapy and Targeted Therapy; Haitao Pan,Ying Yuan Book 2023 Springer Nature Singapore Pte Ltd. 2023 Ad

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期刊全称Bayesian Adaptive Design for Immunotherapy and Targeted Therapy
影响因子2023Haitao Pan,Ying Yuan
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发行地址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 r
图书封面Titlebook: Bayesian Adaptive Design for Immunotherapy and Targeted Therapy;  Haitao Pan,Ying Yuan Book 2023 Springer Nature Singapore Pte Ltd. 2023 Ad
影响因子.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..
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发表于 2025-3-21 23:31:13 | 显示全部楼层
Bayesian Adaptive Design for Immunotherapy and Targeted Therapy978-981-19-8176-0
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https://doi.org/10.1007/978-981-19-8176-0Adaptive clinical trial design; Delayed outcomes; Late-onset outcomes; Markov Chain Monte Carlo (MCMC)
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Human Autonomy in Cross-Cultural Contextal., 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
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https://doi.org/10.1007/978-3-031-05871-4e challenging to implement in practice. This chapter introduces two model-assisted phase I/II designs, BOIN12 and U-BOIN, to find the optimal biological dose (OBD). These two designs simultaneously consider toxicity and efficacy, and use the utility to quantify the risk-benefit tradeoff. Based on th
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https://doi.org/10.1007/978-981-15-2109-6III trials, using small sample sizes. This chapter first presents Simon’s two-stage design; and then introduces several novel Bayesian designs, including posterior probability (PrP) and predictive probability (PreP) approaches, and Bayesian optimal Phase II design (BOP2) and its extensions. Bayesian
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