Noninferiority Trials: Is a New Treatment Almost as Effective as Another? with Dr Amy Kaji
Feb 6, 2020
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Dr. Amy Kaji, an MD, PhD specializing in Noninferiority Trials, discusses concepts such as minimal clinically important difference, one-way vs two-way statistical tests, and the differences between noninferiority and superiority trials. The importance of selecting the minimally important clinical difference and sample size for trials is also emphasized.
Non-inferiority trials compare new treatments with established ones, aiming to prove the new therapy is at least as effective with a smaller acceptable difference.
The determination of the non-inferiority margin impacts sample size, and clinicians must carefully select the minimally important clinical difference for meaningful trial design.
Deep dives
Non-Inferiority Trials: An Overview
Non-inferiority trials are a study design used to compare a new intervention to an established treatment in terms of efficacy, while also considering advantages like decreased cost or adverse effects. In these trials, the control group is an active control, different from a placebo, serving as the known effective treatment. The goal is to demonstrate that the new therapy is at least as good as the existing one, with a smaller non-inferiority margin representing the acceptable difference. Clinicians determine the minimal clinically important difference prior to the study, considering factors such as event rates, disease severity, toxicity, and convenience. The non-inferiority margin selected affects the sample size required.
Statistical Considerations for Non-Inferiority Trials
Non-inferiority analysis uses one-sided confidence intervals to test non-inferiority rather than superiority. The lower limit of the confidence interval should be above the selected non-inferiority margin to establish non-inferiority. The determination of the confidence interval size depends on whether a 2.5% or a 5% level of significance is selected. It is important to note that a non-inferiority trial is different from an equivalence trial, as demonstrating non-inferiority does not automatically imply equivalence. Moreover, the choice of non-inferiority margin significantly impacts the sample size, with smaller margins requiring larger sample sizes. Clinicians must carefully select the minimally important clinical difference to ensure realistic and meaningful trial design.