两阶段无缝设计中的最佳样本量划分

IF 1.3 4区 医学 Q4 PHARMACOLOGY & PHARMACY Pharmaceutical Statistics Pub Date : 2024-04-27 DOI:10.1002/pst.2394
Lindsay R. Berry, Joe Marion, Scott M. Berry, Kert Viele
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引用次数: 0

摘要

推断无缝 2/3 设计在临床试验中越来越受欢迎。重要的是要了解它们与单独的 2 期和 3 期试验相比的相对优势,并了解设计选择的后果,如纳入 2 期部分的患者比例。我们扩展了之前在这一领域的工作,进行了一项跨多个臂数和疗效反应曲线的模拟研究。我们考虑的设计空间跨越了单独设计与无缝设计的选择,可选择将 0%-100% 的可用患者分配到第 2 阶段,其余患者分配到第 3 阶段。与单独试验相比,无缝设计能获得更大的功率。重要的是,最佳无缝设计比最佳单独方案更稳健,这意味着第 2 阶段所用患者比例的一个取值范围(占第 2/3 阶段总样本量的 30%-50%)几乎是各种反应情况下的最佳值。与此相反,用于第 2 阶段单独试验的患者比例对于某些备选方案可能是最佳的,但对于其他备选方案则明显较差。在操作和科学上可行的情况下,无缝试验比单独的第 2 期和第 3 期试验性能更优。研究结果还为在实践中实施这些试验提供了指导。
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Optimal sample size division in two‐stage seamless designs
Inferentially seamless 2/3 designs are increasingly popular in clinical trials. It is important to understand their relative advantages compared with separate phase 2 and phase 3 trials, and to understand the consequences of design choices such as the proportion of patients included in the phase 2 portion of the design. Extending previous work in this area, we perform a simulation study across multiple numbers of arms and efficacy response curves. We consider a design space crossing the choice of a separate versus seamless design with the choice of allocating 0%–100% of available patients in phase 2, with the remainder in phase 3. The seamless designs achieve greater power than their separate trial counterparts. Importantly, the optimal seamless design is more robust than the optimal separate program, meaning that one range of values for the proportion of patients used in phase 2 (30%–50% of the total phase 2/3 sample size) is nearly optimal for a wide range of response scenarios. In contrast, a percentage of patients used in phase 2 for separate trials may be optimal for some alternative scenarios but decidedly inferior for other alternative scenarios. When operationally and scientifically viable, seamless trials provide superior performance compared with separate phase 2 and phase 3 trials. The results also provide guidance for the implementation of these trials in practice.
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来源期刊
Pharmaceutical Statistics
Pharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.70
自引率
6.70%
发文量
90
审稿时长
6-12 weeks
期刊介绍: Pharmaceutical Statistics is an industry-led initiative, tackling real problems in statistical applications. The Journal publishes papers that share experiences in the practical application of statistics within the pharmaceutical industry. It covers all aspects of pharmaceutical statistical applications from discovery, through pre-clinical development, clinical development, post-marketing surveillance, consumer health, production, epidemiology, and health economics. The Journal is both international and multidisciplinary. It includes high quality practical papers, case studies and review papers.
期刊最新文献
Bayesian Solutions for Assessing Differential Effects in Biomarker Positive and Negative Subgroups. Pre-Posterior Distributions in Drug Development and Their Properties. Beyond the Fragility Index. A Model-Based Trial Design With a Randomization Scheme Considering Pharmacokinetics Exposure for Dose Optimization in Oncology. Potential Bias Models With Bayesian Shrinkage Priors for Dynamic Borrowing of Multiple Historical Control Data.
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