Jonathan Beall, Jordan Elm, Matthew W. Semler, Li Wang, Todd Rice, Hooman Kamel, William Mack, Akshitkumar M. Mistry
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Simulation studies were conducted to assess the impact of the type of analyses, the timing of analyses, and the effect size observed across multiple outcomes on trial operating characteristics for a FAST design. Given multiple outcomes types assessed within the hypothetical trial, the primary analysis approach for each assessment varied depending on data type. The simulation studies demonstrate that the proposed class of FAST trial designs can offer a framework to potentially provide improvements relative to other trial designs, such as a MAMS or factorial trial. Further, we note that the design implementation decisions, such as the timing and type of analyses conducted throughout trial, can have a great impact on trial operating characteristics. Motivated by a trial currently under design, our work shows that the FAST category of trial can potentially offer benefits similar to both MAMS and factorial designs; however, the chosen design aspects which can be included in a FAST trial need to be thoroughly explored during the planning phase.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design considerations for Factorial Adaptive Multi-Arm Multi-Stage (FAST) clinical trials\",\"authors\":\"Jonathan Beall, Jordan Elm, Matthew W. Semler, Li Wang, Todd Rice, Hooman Kamel, William Mack, Akshitkumar M. 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引用次数: 0
摘要
多臂多阶段(MAMS)临床试验设计允许在不同临床试验阶段对多种疗法进行比较。多臂多阶段临床试验设计分为几大类,包括适应性设计(AD)和多臂设计(MA)。因子临床试验设计是因子和 MAMS 试验设计的结合,相对于固定的传统设计,它能提高效率。我们探讨了与因子自适应多臂多阶段(FAST)设计相关的设计选择,它代表了因子设计和 MAMS 设计的结合。我们进行了模拟研究,以评估分析类型、分析时间以及在多个结果中观察到的效应大小对 FAST 设计的试验操作特征的影响。鉴于在假设试验中评估了多种结果类型,每次评估的主要分析方法因数据类型而异。模拟研究表明,与其他试验设计(如 MAMS 或因子试验)相比,拟议的 FAST 试验设计可提供一个潜在改进框架。此外,我们还注意到,设计实施决策,如在整个试验过程中进行分析的时间和类型,会对试验运行特征产生很大影响。受目前正在设计的一项试验的启发,我们的工作表明,FAST 类试验有可能提供与 MAMS 和因子设计类似的优势;但是,在规划阶段需要对 FAST 试验中可包括的设计方面进行深入探讨。
Design considerations for Factorial Adaptive Multi-Arm Multi-Stage (FAST) clinical trials
Multi-Arm, Multi-Stage (MAMS) clinical trial designs allow for multiple therapies to be compared across a spectrum of clinical trial phases. MAMS designs fall under several overarching design groups, including adaptive designs (AD) and multi-arm (MA) designs. Factorial clinical trials designs represent a combination of factorial and MAMS trial designs and can provide increased efficiency relative to fixed, traditional designs. We explore design choices associated with Factorial Adaptive Multi-Arm Multi-Stage (FAST) designs, which represent the combination of factorial and MAMS designs. Simulation studies were conducted to assess the impact of the type of analyses, the timing of analyses, and the effect size observed across multiple outcomes on trial operating characteristics for a FAST design. Given multiple outcomes types assessed within the hypothetical trial, the primary analysis approach for each assessment varied depending on data type. The simulation studies demonstrate that the proposed class of FAST trial designs can offer a framework to potentially provide improvements relative to other trial designs, such as a MAMS or factorial trial. Further, we note that the design implementation decisions, such as the timing and type of analyses conducted throughout trial, can have a great impact on trial operating characteristics. Motivated by a trial currently under design, our work shows that the FAST category of trial can potentially offer benefits similar to both MAMS and factorial designs; however, the chosen design aspects which can be included in a FAST trial need to be thoroughly explored during the planning phase.