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Design Considerations for Factorial Adaptive Multi-Arm Multi-Stage (FAST) Clinical Trials

2023/10/19 by Jonathan Beall, Beall, Jonathan, Jordan Elm +13
Biochemistry, Genetics and Molecular Biology · Decision Sciences · Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Optimal Experimental Design Methods #Statistical Methods in Clinical Trials #Viral Infectious Diseases and Gene Expression in Insects

paper · pdf · doi:10.48550/arxiv.2310.12830

openalex publication_date 2023/10/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Multi-Arm, Multi-Stage (MAMS) clinical trial designs allow for multiple therapies to be compared across a spectrum of clinical trial phases. MAMS designs can be categorized into several overarching design groups, including adaptive designs (AD) and multi-arm (MA) designs. Factorial clinical trials designs represent an additional group of designs which can provide increased efficiency relative to fixed, traditional designs. In this work, we explore design choices associated with Factorial Adaptive Multi-Arm Multi-Stage (FAST) designs, which represent the combination of factorial and MAMS designs. This category of trial can potentially offer benefits similar to both MAMS and factorial designs. This work is motivated by a proposed clinical trial under development.

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