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Significance Testing to Establish Equivalence between Treatments, with Special Reference to Data in the Form of 2 x 2 Tables

C. W. Dunnett and M. Gent
Biometrics
Vol. 33, No. 4 (Dec., 1977), pp. 593-602
DOI: 10.2307/2529457
Stable URL: http://www.jstor.org/stable/2529457
Page Count: 10
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Significance Testing to Establish Equivalence between Treatments, with Special Reference to Data in the Form of 2 x 2 Tables
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Abstract

In this paper, the role of significance testing in establishing equivalence between treatments is described. In place of the more customary null hypothesis of no difference between treatments, the hypothesis that the true difference is equal to a specified $\Delta$ is tested. The particular case of comparing two binomial samples is described in detail. Results using a method due to Gart and approximations based on the $\chi^2$ and normal distributions are compared. It is found that the test based upon $\chi^2$ with continuity correction agrees best overall with Gart's (1971) test and is therefore recommended for use when computational facilities needed for carrying out the latter are not available.

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