Why is 90% Confidence Interval Used When Confidence Interval Approach is Used for Testing Equivalence?

Title & Authors
Why is 90% Confidence Interval Used When Confidence Interval Approach is Used for Testing Equivalence?
Kang, Seung-Ho;

Abstract
It is a convention to use 5% significance level when a statistical test is employed for clinical data. But when a confidence interval is used for testing equivalence, 90% confidence interval has often been used. When $\small{1-{\alpha}}$ confidence interval is used for hypothesis testing, its significance level is often $\small{{\alpha}}$. So it makes a confusion that the significance level is 10% if 90% confidence interval is employed for testing equivalence. In this paper I will clarify this issue by reviewing relevant papers and conducting simulation studies. I hope that it will be beneficial to statisticians in pharmaceutical companies, CROs, university hospitals.
Keywords
Bioequivalence;intersection union test;two one-sided tests;
Language
Korean
Cited by
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가설검정과 구간추정 표현에 의한 효과 크기, 통계적 차이, 실제적 동등성의 비교,최성운;

한국경영공학회지, 2010. vol.15. 3, pp.231-242
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3.
선형혼합모형을 활용한 생물학적 동등성 분석,안형미;이영조;유경상;

응용통계연구, 2015. vol.28. 2, pp.289-294
1.
Bio-Equivalence Analysis using Linear Mixed Model, Korean Journal of Applied Statistics, 2015, 28, 2, 289
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