title: Statistical issues on objective, design, and analysis of noninferiority active-controlled clinical trial.
abstract: In practice, "noninferiority" active-controlled trials have been designed for three different objectives: establishing evidence of efficacy over placebo, preserving a specific percentage of the effect size of the active control, or demonstrating the test treatment is "not much inferior" to the active control. All three objectives can be represented by the same set of statistical hypotheses with the parameters defined differently. The various designs and statistical analysis procedures for active-controlled trials proposed in the literature can be group into two basic types: the historical-controlled trial approach and the cross-study comparison approach. These approaches require some unverifiable constancy assumptions. Under the constancy assumptions, the cross-study comparison uses the estimate effect of active-control treatment as the unbiased estimate of the active/placebo difference in the current noninferiority trial. A normalized Z-statistic is used to test the hypotheses. On the other hand, the historical controlled trial approach uses a conservative confidence limit as if it were a constant to replace the active/placebo difference in the current trial. The two approaches may lead to consistent conclusions only when the constancy assumptions can be supported by a large number of historical studies giving a consistent active-control treatment effect over placebo and that the active-control effect does not change over time.
authors.affiliation: Quantitative Methods and Research Staff, OB/CDER/FDA, Rockville, Maryland 20857, USA. tsong@cder.fda.gov
authors.forename: Yi
authors.initials: Y
authors.lastname: Tsong
authors.forename: Sue Jane
authors.initials: SJ
authors.lastname: Wang
authors.forename: H M James
authors.initials: HM
authors.lastname: Hung
authors.forename: Lu
authors.initials: L
authors.lastname: Cui
mesh_terms: D018849:Controlled Clinical Trials as Topic / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D015340:Epidemiologic Research Design; D015233:Models, Statistical; D010919:Placebos
chemical_list: D010919:Placebos