JSM 2005 - Toronto

Abstract #302993

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 67
Type: Contributed
Date/Time: Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #302993
Title: Use of the Fieller-Hinkley Distribution of the Ratio of Random Variables in Testing for Noninferiority and Equivalence
Author(s): Kallappa Koti*+
Companies: U.S. Food and Drug Administration
Address: 1401 Rockville Pike, Rockville, MD, 20852, United States
Keywords: Bivariate normal integral ; bootstrap percentile interval ; rejection region ; two one-sided tests ; complete power
Abstract:

We address the noninferiority and equivalence testing problems defined in terms of the ratio of population means in a parallel group design analysis of variance setting. We think of the sample ratio as a point estimate of the corresponding population ratio. We show the Fieller-Hinkley (Hinkley 1969) distribution of the ratio of two correlated normally distributed random variables readily provides a technique for constructing confidence intervals comparable to the bootstrap percentile and Fieller's confidence intervals. We derive a finite parameter space based level-alpha test of a noninferiority hypothesis formulated in terms of a fixed margin. We illustrate our approach for testing noninferiority using the FVC data from Pigeot et al. (2003). Next, using the intersection-union procedure, we extend our noninferiority testing procedure to test the null hypothesis of non-equivalence. We claim it is easy to construct and straightforward to interpret our bootstrap equivalent confidence intervals used to assess equivalence. We discuss appropriate methods for calculation of sample sizes. We do not address any clinical, ethical, or regulatory issues.


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Revised March 2005