Factorial Trials

Steven Piantadosi () and Susan Halabi ()
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Steven Piantadosi: Brigham and Women’s Hospital, Harvard Medical School, Department of Surgery, Division of Surgical Oncology
Susan Halabi: Duke University Medical Center, Department of Biostatistics and Bioinformatics

Chapter 71 in Principles and Practice of Clinical Trials, 2022, pp 1353-1376 from Springer

Abstract: Abstract Factorial clinical trials test the effects of two or more therapies using a design that can estimate interaction between therapies (Piantadosi 2017). (This chapter revises, updates, and expands upon reference (Piantadosi 2017)) A factorial structure is the only design that can assess treatment interactions, so this type of trial is required for those important therapeutic questions. When interactions between treatments are absent, which is not a trivial requirement, a factorial design can estimate each of several treatment effects from the same data. For example, two treatments can sometimes be evaluated using the same number of subjects ordinarily used to test a single therapy. When possible, this demonstrates a striking efficiency. For these reasons, factorial designs have an important place in clinical trial methodology, and have been applied in a variety of setting, but in particular in disease prevention.

Keywords: Factorial clinical trials; Treatment interactions; Factorial designs (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-319-52636-2_100

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