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Similarity testing using paired comparison method.

机译:使用配对比较法进行相似性测试。

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Statistical model and procedure for similarity tests using paired comparison method are developed in the framework of the "two one-sided tests" (TOST) according to the intersection-union test (IUT) principle. Critical values, testing powers and sample sizes for the tests are provided based on the binomial distribution. Confidence intervals used in similarity testing are discussed. Current practice of using the conventional confidence intervals in two-sided similarity testing is criticized. A 100 (1 - alpha )% confidence interval associated exactly with a alpha -level TOST is provided. Two key points are addressed in the paper. (1) Unlike difference testing, no multiplicity adjustment is needed to achieve an overall alpha -level in the two-sided similarity hypothesis tests. (2) The conventional two-sided confidence intervals do not match the TOST..
机译:根据交叉联合测试(IUT)的原理,在“两个单侧测试”(TOST)的框架内,开发了使用配对比较方法的相似性测试的统计模型和程序。根据二项式分布提供了测试的关键值,测试功效和样本数量。讨论了相似性测试中使用的置信区间。在双面相似性测试中使用常规置信区间的当前做法受到批评。提供了与alpha级别的TOST完全相关的100(1- alpha)%的置信区间。本文讨论了两个关键点。 (1)与差异检验不同,在双面相似性假设检验中,无需进行多重调整即可获得总体alpha水平。 (2)传统的双向置信区间与TOST不匹配。

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