Literature DB >> 23531623

Step-up procedures for non-inferiority tests with multiple experimental treatments.

Koon Shing Kwong1, Siu Hung Cheung2, Anthony J Hayter3.   

Abstract

Non-inferiority (NI) trials are becoming more popular. The NI of a new treatment compared with a standard treatment is established when the new treatment maintains a substantial fraction of the treatment effect of the standard treatment. A valid NI trial is also required to show assay sensitivity, the demonstration of the standard treatment having the expected effect with a size comparable to those reported in previous placebo-controlled studies. A three-arm NI trial is a clinical study that includes a new treatment, a standard treatment and a placebo. Most of the statistical methods developed for three-arm NI trials are designed for the existence of only one new treatment. Recently, a single-step procedure was developed to deal with NI trials with multiple new treatments with the overall familywise error rate controlled at a specified level. In this article, we extend the single-step procedure to two new step-up procedures for NI trials with multiple new treatments. A comparative study of test power shows that both proposed step-up procedures provide a significant improvement of power when compared to the single-step procedure. One of the two proposed step-up procedures also allows the flexibility of allocating different error rates between the sensitivity hypothesis and the NI hypotheses so that the assignment of fewer patients to the placebo becomes possible when designing NI trials. We illustrate the new procedures using data from a clinical trial.
© The Author(s) 2013.

Entities:  

Keywords:  Familywise error rate; assay sensitivity; control treatment; non-inferiority trial; placebo; stepwise procedure

Mesh:

Year:  2013        PMID: 23531623     DOI: 10.1177/0962280213477767

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  1 in total

Review 1.  Recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice.

Authors:  Jake Emmerson; Susan Todd; Julia M Brown
Journal:  Trials       Date:  2021-06-26       Impact factor: 2.279

  1 in total

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