Exact Significance Testing to Establish Treatment Equivalence with Ordered Categorical Data
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TL;DR
An efficient numerical algorithm for computing the exact significance level and a simple method for obtaining the asymptotic significance level are provided for establishing the therapeutic equivalence of two treatments that are being compared on the basis of ordered categorical data.
Abstract
This communication concerns the problem of establishing the therapeutic equivalence of two treatments that are being compared on the basis of ordered categorical data. The problem is formulated as a significance test in which the null hypothesis specifies a treatment difference. An efficient numerical algorithm for computing the exact significance level is provided, along with a simple method for obtaining the asymptotic significance level. Both methods are applied to a clinical trial of a new agent versus an active control. Guidelines for when to use the exact procedure and when to rely on asymptotic theory are provided.