title: Advanced statistics: how to determine whether your intervention is different, at least as effective as, or equivalent: a basic introduction.
abstract: The majority of studies published in the emergency medicine literature attempt to show a difference between two interventions, but often fail to do so. Failing to detect a difference, however, is not the same as demonstrating that one intervention is at least as effective as or better than the other intervention, or that the two interventions are equivalent--a fine point that is often overlooked. The purpose of this paper is to review classical hypothesis testing and then introduce the methodology to determine whether one intervention is at least as effective as another intervention, or whether two interventions are equivalent. Appreciating the conceptual differences between failing to find a difference, demonstrating that one intervention is at least as effective as another, and demonstrating equivalence may lead to a better understanding of the true significance or potential significance of study results.
authors.affiliation: Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH, USA. josh@tamayo-sarver.com
authors.forename: Joshua H
authors.initials: JH
authors.lastname: Tamayo-Sarver
authors.forename: Jeffrey M
authors.initials: JM
authors.lastname: Albert
authors.forename: Maritza
authors.initials: M
authors.lastname: Tamayo-Sarver
authors.forename: Rita K
authors.initials: RK
authors.lastname: Cydulka
mesh_terms: D003627:Data Interpretation, Statistical; D004635:Emergency Medicine / Q000379:methods; D006801:Humans; D012107:Research Design; D018401:Sample Size; D016896:Treatment Outcome