title: Multiple testing of noninferiority hypotheses in active controlled trials.
abstract: For noninferiority testing with the maximum allowable noninferiority margin being prespecified, one can perform valid statistical testing at the same alpha level for multiple noninferiority hypotheses with margins being smaller than this maximum margin. This is easily comprehensible because only one confidence level is used to assess which margins within the interval bounded by the maximum margin can be ruled out. If different confidence intervals are used, e.g., the interval generated from the intent-to-treat population is used for testing superiority and the interval generated from the per-protocol population is used for testing noninferiority, the problem of multiplicity will surface and the adjustment of alpha for each testing may be needed. All these predicate on the condition that at least a certain element of the maximum allowable noninferiority margin, whether it is the entire margin or the fraction of the active control effect to be retained, must be fixed in advance. None of these elements can be allowed to be influenced directly or indirectly by any analysis of the noninferiority trial data. Otherwise, the noninferiority analysis may be invalid.
authors.affiliation: Division of Biometrics I, Food and Drug Administration, Rockville, Maryland 20852, USA. hung@cder.fda.gov
authors.forename: H M James
authors.initials: HM
authors.lastname: Hung
authors.forename: Sue-Jane
authors.initials: SJ
authors.lastname: Wang
mesh_terms: D018849:Controlled Clinical Trials as Topic / Q000706:statistics & numerical data*; D008962:Models, Theoretical