Sample size determination for proving equivalence based on the ratio of two means for normally distributed data

• Published in: Statistics in medicine Vol. 18; no. 1; pp. 93 - 105
• Main Authors: Hauschke, Dieter, Kieser, Meinhard, Diletti, Edgar, Burke, Martin
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 15.01.1999; Wiley
• Subjects: Administration, Inhalation; Adrenal Cortex Hormones - administration & dosage; Adrenal Cortex Hormones - pharmacokinetics; Adrenal Cortex Hormones - therapeutic use; Asthma - drug therapy; Biological and medical sciences; Computerized, statistical medical data processing and models in biomedicine; Confidence Intervals; Cross-Over Studies; Humans; Medical sciences; Medical statistics; Normal Distribution; Numerical Analysis, Computer-Assisted; Sample Size; Therapeutic Equivalency; Statistical method; Equivalence relation; Treatment; Sample size; Gaussian distribution; Clinical trial; Test power; Modeling; Confidence interval
• DOI: 10.1002/(SICI)1097-0258(19990115)18:1<93::AID-SIM992>3.0.CO;2-8
• ISSN: 0277-6715

Equivalence trials aim to demonstrate that two treatments do not differ by more than a prespecified clinically irrelevant amount. We consider the problem when equivalence is defined in terms of the ratio of population means and the original (untransformed) data are normally distributed. Application of the intersection‐union principle to the test proposed by Sasabuchi results in a two one‐sided tests procedure of size α. We give the associated 100 (1−2α) per cent confidence interval and derive the exact methods for calculation of power and sample sizes for the parallel group design and the two‐period cross‐over. We present tables and figures of required sample sizes and achieved power. Copyright © 1999 John Wiley & Sons, Ltd.