2000
DOI: 10.7326/0003-4819-132-9-200005020-00006
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Claims of Equivalence in Medical Research: Are They Supported by the Evidence?

Abstract: Many studies of clinical equivalence do not set boundaries for equivalence. Claims of "difference" or "similarity" are often made not by thoughtful examination of the data but by tests of statistical significance that are often misapplied or accompanied by inadequate sample sizes. These methodologic flaws can lead to false claims, inconsistencies, and harm to patients.

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Cited by 161 publications
(74 citation statements)
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“…One of the greatest expectations of researchers and clinicians when researching a new drug is to find evidence of superiority of the new drug over the standard treatment being used so that the new product allows a breakthrough in drug therapy for the patients [9]. However, it is also increasingly common for studies to focus on demonstrating that the drug being investigated is just as effective as another drug being considered as a reference.…”
Section: Discussionmentioning
confidence: 99%
“…One of the greatest expectations of researchers and clinicians when researching a new drug is to find evidence of superiority of the new drug over the standard treatment being used so that the new product allows a breakthrough in drug therapy for the patients [9]. However, it is also increasingly common for studies to focus on demonstrating that the drug being investigated is just as effective as another drug being considered as a reference.…”
Section: Discussionmentioning
confidence: 99%
“…2-million trials in the Cochrane Central Register of Controlled Trials in 2004 included the words ''equivalence'' or ''noninferiority'' [21]. Given that the overall percentage of controlled trials among all orthopaedic publications ranges between 4% and 8%, the frequency of noninferiority trials and equivalence trials probably is low [41,56].…”
Section: Frequency and Quality Of Noninferiority Trials And Equivalenmentioning
confidence: 99%
“…This can be done via CIs or using statistical tests. However, equivalence testing is two-sided, meaning a new treatment is equivalent only if it is no better and no worse (both within a margin) than the active control, but noninferiority and equivalence often are confused [11,21]. One reason might be the better, more positive ring of being equivalent rather than noninferior, despite the fact that this actually inverts the real situation where a noninferior treatment has potential for superiority, whereas an equivalent treatment, by definition, cannot be better than the active control.…”
Section: Equivalence-they Are Substantively the Samementioning
confidence: 99%
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“…For example, if the paper-and-pencil test discussed above was ten times more expensive to administer than the computer-based test, even a very significant difference in outcomes (e.g., +20%) might be acceptable for concluding that the tests are equivalent; Whereas if the paper-and-pencil test was only twice as expensive to administer as the computer based test a difference in outcomes of no more than 5% might be required for concluding that the tests are equivalent. For a further discussion on establishing D readers are referred to Greene, Concato & Feinstein (2000).…”
Section: Introductionmentioning
confidence: 99%