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Re‐Formulating Non‐inferiority Trials as Superiority Trials: The Case of Binary Outcomes
Authors:Valerie L Durkalski  Vance W Berger
Institution:1. Department of Biostatistics, Bioinformatics & Epidemiology, Medical University of South Carolina, 135 Cannon St, Ste 303, MSC 815, Charleston, SC 29425‐8150, USA;2. Biometry Research Group, DCP, National Cancer Institute, Executive Plaza North, Room 3131, 6130 Executive Blvd MSC 7354, Bethesda, MD 20892‐7354, USA
Abstract:Non‐inferiority trials are conducted for a variety of reasons including to show that a new treatment has a negligible reduction in efficacy or safety when compared to the current standard treatment, or a more complex setting of showing that a new treatment has a negligible reduction in efficacy when compared to the current standard yet is superior in terms of other treatment characteristics. The latter reason for conducting a non‐inferiority trial presents the challenge of deciding on a balance between a suitable reduction in efficacy, known as the non‐inferiority margin, in return for a gain in other important treatment characteristics/findings. It would be ideal to alleviate the dilemma on the choice of margin in this setting by reverting to a traditional superiority trial design where a single p ‐value for superiority of both the most important endpoint (efficacy) and the most important finding (treatment characteristic) is provided. We discuss how this can be done using the information‐preserving composite endpoint (IPCE) approach and consider binary outcome cases in which the combination of efficacy and treatment characteristics, but not one itself, paints a clear picture that the novel treatment is superior to the active control (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Keywords:Active Control Trial  Information‐Preserving Composite Endpoint  Non‐inferiority Trials  Ordered Categorical Data
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