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Indicators of evidence for bioequivalence

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posted on 2023-03-10, 02:33 authored by S Morgenthaler, Robert StaudteRobert Staudte
Some equivalence tests are based on two one-sided tests, where in many applications the test statistics are approximately normal. We define and find evidence for equivalence in Z-tests and then one- and two-sample binomial tests as well as for t-tests. Multivariate equivalence tests are typically based on statistics with non-central chi-squared or non-central F distributions in which the non-centrality parameter λ is a measure of heterogeneity of several groups. Classical tests of the null λ ≥ λ0 versus the equivalence alternative λ < λ0 are available, but simple formulae for power functions are not. In these tests, the equivalence limit λ0 is typically chosen by context. We provide extensions of classical variance stabilizing transformations for the non-central chi-squared and F distributions that are easy to implement and which lead to indicators of evidence for equivalence. Approximate power functions are also obtained via simple expressions for the expected evidence in these equivalence tests.

History

Publication Date

2016-08-09

Journal

Entropy

Volume

18

Issue

8

Article Number

291

Pagination

21p.

Publisher

Multidisciplinary Digital Publishing Institute

ISSN

1099-4300

Rights Statement

© 2016 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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