title: Understanding equivalence and noninferiority testing.
abstract: Increasingly, the goal of many studies is to determine if new therapies have equivalent or noninferior efficacies to the ones currently in use. These studies are called equivalence/noninferiority studies, and the statistical methods for their analysis require only simple modifications to the traditional hypotheses testing framework. Nevertheless, important and subtle issues arise with the application of such methods. This article describes the concepts and statistical methods involved in testing equivalence/noninferiority. The aim is to enable the clinician to understand and critically assess the growing number of articles utilizing such methods.
authors.affiliation: Department of Quantitative Health Sciences, Cleveland Clinic, 9500 Euclid Avenue/JJN3 - 01, Cleveland, OH 44195, USA. walkere1@ccf.org
authors.forename: Esteban
authors.initials: E
authors.lastname: Walker
authors.forename: Amy S
authors.initials: AS
authors.lastname: Nowacki
mesh_terms: D032882:Comprehension; D006801:Humans; D012107:Research Design / Q000592:standards; D018401:Sample Size; D013810:Therapeutic Equivalency